A. Nieße, S. Ferenz, and E. Frost, Research Data Management for Energy Systems Research.
doi: 10.5281/zenodo.7937282
@misc{Niee.2023, abstract = {The National Research Data Infrastructure Germany (NFDI) aims to systematically assess valuable data from science and research, and make them usable sustainably and qualitatively for the entire German science sys- tem. With NFDI4Energy as a consortium driven by German energy system researchers heavily involved in ener- gy informatics, the first energy consortium in this field has been established in 2023. The keynote will give in- sights into the motivation for and main challenges in this area, thus showing which community services NFDI4Energy will deliver to the research community including industry and public partners. The talk will link these project goals with European activities in research data management and show connections to topics of international standardization.},
author = {Nie{\ss}e, Astrid and Ferenz, Stephan and Frost, Emilie},
year = {2023},
title = {Research Data Management for Energy Systems Research},
url = {https://zenodo.org/record/7937282},
doi = {10.5281/zenodo.7937282},
file = {Nie{\ss}e, Ferenz et al. 2023 - Research Data Management for Energy:Attachments/Nie{\ss}e, Ferenz et al. 2023 - Research Data Management for Energy.pdf:application/pdf}
}
Open Training for Research Data Management in the Energy Domain: Zenodo.
doi: 10.5281/zenodo.10635422
@misc{Ferenz.20240208, date = {2024},
title = {Open Training for Research Data Management in the Energy Domain: Zenodo},
url = {https://zenodo.org/records/10635422},
editor = {Ferenz, Stephan and Ahrens, Antje and Heiken, Julia and Jandrich, Annabelle and Nie{\ss}e, Astrid and Seitz, Nicola},
doi = {10.5281/zenodo.10635422},
file = {Open Training for Research Data 2024:Attachments/Open Training for Research Data 2024.pdf:application/pdf}
}
L. J. Castro, S. Ferenz, M. Fuhrmans, J. Göpfert, D. Iglezakis, O. Karras, and A. Struck, \textquotedblResearch Software Metadata\textquotedbl - Working Group Charter (NFDI section-metadata)Zenodo.
doi: 10.5281/zenodo.10246218
@misc{Castro.2023, abstract = {English Summary Research software is commonly used in various disciplines to perform research and as a research object itself. Therefore, it is covered by multiple NFDI consortia. To fulfill the FAIR criteria for research software, it needs to be described with meaningful and interoperable metadata enhancing transparency, reproducibility, and reusability in research. While there exist some metadata schemes for research software, e.g., CodeMeta, they have some limitations, e.g., missing elements and missing semantic interoperability. To address these issues, this working group aims to provide a comprehensive metadata vocabulary for research software, compatible with existing frameworks such as schema.org and CodeMeta. Also, the working group will support all NFDI consortia in applying the vocabulary as well as develop domain-specific extensions if needed. German Summary Forschungssoftware wird in vielen Bereichen der Wissenschaft zur Forschung genutzt und stellt teilweise selbst ein Forschungsobjekt dar. Viele NFDI-Konsortien decken Forschungssoftware als wichtiges Forschungsartefakt mit ab und wollen, dass Forschungssoftware in Zukunft die FAIR-Kriterien erf{\"u}llt, um die Transparenz, Reproduzierbarkeit und Wiederverwendbarkeit in software-basierter Forschung zu erh{\"o}hen. Damit Forschungssoftware die FAIR-Kriterien erf{\"u}llt, muss sie mit aussagekr{\"a}ftigen und interoperablen Metadaten beschrieben werden. Daf{\"u}r werden entsprechende Metadatenschemata ben{\"o}tigt. Es gibt zwar einige Metadatenschemata f{\"u}r Forschungssoftware, z. B. CodeMeta, aber sie weisen einige Einschr{\"a}nkungen auf, z. B. fehlende Elemente und fehlende semantische Interoperabilit{\"a}t. Um diese Probleme zu beheben, hat sich diese Arbeitsgruppe zum Ziel gesetzt, ein umfassendes Metadatenvokabular f{\"u}r Forschungssoftware bereitzustellen, das mit bestehenden Standards wie schema.org und CodeMeta kompatibel ist. Damit wird die Arbeitsgruppe alle NFDI-Konsortien bei der Anwendung und Etablierung von Metadatenschemeta f{\"u}r Forschungssoftware unterst{\"u}tzen, z.B. bei Entwicklung von bereichsspezifischen Erweiterungen. This is the case statement of the NFDI section-metadata working group {\textquotedbl}Research Software Metadata{\textquotedbl}.},
author = {Castro, Leyla Jael and Ferenz, Stephan and Fuhrmans, Marc and G{\"o}pfert, Jan and Iglezakis, Dorothea and Karras, Oliver and Struck, Alexander},
date = {2023},
title = {{\textquotedbl}Research Software Metadata{\textquotedbl} - Working Group Charter (NFDI section-metadata)},
url = {https://zenodo.org/records/10246218},
publisher = {Zenodo},
doi = {10.5281/zenodo.10246218},
file = {Castro, Ferenz et al. - Research Software Metadata:Attachments/Castro, Ferenz et al. - Research Software Metadata.pdf:application/pdf}
}
L. J. Castro, S. Ferenz, H. Hajiabadi, P. Kuckertz, M. Löbe, C. Schmidt, A. Struck, and F. Thiery, Results on a Survey on Research Software Metadata in the NFDI ConsortiaZenodo.
doi: 10.5281/zenodo.12704414
@misc{Castro.2024, abstract = {This paper presents the results of a survey conducted by the working group on research software metadata within the NFDI (Nationale Forschungsdateninfrastruktur / National Research Data Infrastructure) to gain a better understanding of the requirements and practices for research software metadata in the different NFDI consortia. The survey consisted of four main parts: usage of research software, FAIRness of research software, state of metadata on research software, and artifacts developed to support FAIRness. The survey was distributed to representatives of the 26 NFDI consortia, with responses from 21 of them. The survey showed that research software is primarily used for data processing, simulation, and software prototyping. Analysis scripts, libraries, stand-alone software, and web services are the most common software types. Some consortia reported that research software could be considered a research output, while others only viewed it as a supplement to traditional publications. Proper citation of software is crucial for ensuring FAIRness. Approximately half of the domains represented by the surveyed NFDI consortia already use DOIs for citing software. Some domains had not yet fully adopted practices for documenting research software, posing challenges for both developers and users. Researchers typically search for software using generic search engines, academic papers, and community-specific marketplaces where they exist. In respect to metadata, only a few domain-specific metadata schemas for research software were identified by the consortia, with generic metadata schemas such as Codemeta, Bioschemas, schema.org, and the Citation File Format being the most commonly mentioned. Relevant metadata elements for research software include algorithms, methods, software/hardware requirements, and tasks performed by the software. The survey results will guide activities in the NFDI working group on research software metadata and will also be a relevant foundation for the base service nfdi.software.},
author = {Castro, Leyla Jael and Ferenz, Stephan and Hajiabadi, Hamideh and Kuckertz, Patrick and L{\"o}be, Matthias and Schmidt, Christian and Struck, Alexander and Thiery, Florian},
date = {2024},
title = {Results on a Survey on Research Software Metadata in the NFDI Consortia},
url = {https://zenodo.org/records/12704414},
publisher = {Zenodo},
doi = {10.5281/zenodo.12704414},
file = {Castro, Ferenz et al. - Results on a Survey:Attachments/Castro, Ferenz et al. - Results on a Survey.pdf:application/pdf}
}
F. Eberl, C. Schneide, L. Jansen, B. Miller, L. Amelung, V. Coors, R. Danabalan, É. Demandt, B. Ebert, J. Engel, J. Eufinger, S. Espinoza, S. Ferenz, F. Fritzsche, M. Goedicke, B. Götz, C. Hege, C. Hennig, A. Hofmann, C. Hofmann, S. Jünemann, R. Jutz, U. Krieger, C. Lauke, C. M. Rodrigues, M. Meister, S. Pittroff, N. Schatlowski, A. Schleuß, C. Schmidt, A. Schwarz, T. Schwetje, J. Seegert, F. Steinhart, T. Trippel, and W. Zinke, Collaborative work in NFDIZenodo.
doi: 10.5281/zenodo.12819087
@misc{Eberl.2024, abstract = {The non-profit association National Research Data Infrastructure (NFDI) promotes science and research through a National Research Data Infrastructure. Its aim is to develop and establish an overarching research data management (RDM) for Germany and to increase the efficiency of the entire German science system. After a two-and-a-half year build up phase, the process of adding new consortia, each representing a different data domain, has ended in March 2023. NFDI now has 26 disciplinary consortia (and one additional basic service collaboration). Now the full extent of cross-consortial interaction is beginning to show. The attached table of jointly documented cross-consortial collaborations is based on a White Paper ratified by the NFDI association's consortia assembly in January 2023. It defines collaborations as ``the exchange of information on or development of common approaches to managing the research data of at least one domain.'' From the perspective of the consortia assembly, ``A necessary condition for any collaboration is that activities are on behalf and in line with the strategic aims of a consortium and are not activities by individuals within them only.'' As the consortia were established in three separate rounds with roughly a year in between, some consortia have had more opportunities to participate in the NFDI association than others which shows in their higher levels of interaction. We expect these differences to diminish over time with further updates of this dataset. The tabular overview of the collaborations was created as a collaborative work in which all consortia had the opportunity to enter joint activities. Nevertheless, this document does not claim to be complete. Instead, it should be understood as a first version; future collaboration will be added and the document will be published in updated versions.},
author = {Eberl, Franziska and Schneide, Christiane and Jansen, Lukas and Miller, Bernhard and Amelung, Lisa and Coors, Victoria and Danabalan, Renita and Demandt, {\'E}variste and Ebert, Barbara and Engel, Judith and Eufinger, Jan and Espinoza, Sara and Ferenz, Stephan and Fritzsche, Franziska and Goedicke, Michael and G{\"o}tz, Barbara and Hege, Cordula and Hennig, Christine and Hofmann, Adina and Hofmann, Carsten and J{\"u}nemann, Sebastian and Jutz, Regina and Krieger, Ulrich and Lauke, Corinna and Rodrigues, Cristina M. and Meister, Maria and Pittroff, Sarah and Schatlowski, Nicole and Schleu{\ss},
Alina and Schmidt, Christian and Schwarz, Annett and Schwetje, Thorsten and Seegert, J{\"o}rg and Steinhart, Feray and Trippel, Thorsten and Zinke, Wolf},
date = {2024},
title = {Collaborative work in NFDI},
url = {https://zenodo.org/records/12819087},
publisher = {Zenodo},
doi = {10.5281/zenodo.12819087},
file = {Eberl, Schneide et al. - Collaborative work in NFDI:Attachments/Eberl, Schneide et al. - Collaborative work in NFDI.pdf:application/pdf}
}
S. Ferenz, F. A. Penaherrera Vaca, H. Wagner, S. Eckhoff, S. Fayed, T. Lege, A. Ofenloch, J. Petznik, T. Poppinga, O. Werth, M. Breitner, B. Engel, L. Kühl, S. Lehnhoff, A. Nieße, J. Rolink, and F. Schuldt, ZLE Open Science DeclarationZenodo.
doi: 10.5281/zenodo.5221234
@misc{Ferenz.2021, abstract = {The researchers working in the project {\textless}a href={\textquotedbl}https://zdin.de/zukunftslabore/energie{\textquotedbl}{\textgreater}ZLE developed an ``Open Science Declaration'' committing their research activities to the standards of Open Science. Research within the ZLE will be built upon the idea of sharing scientific methods, data, and publications to improve research quality and make results accessible to the scientific and non-scientific communities. Members of the ZLE support the principles of Open Science as expressed by the Budapest Open Access Initiative, the Berlin Declaration, the Horizon 2020 Program, and the German Strategy for Open Access. Funded by the Ministry of Science and Culture of Lower Saxony, one of the major goals of the ZLE is to make energy research activities and its resources available for public use while preserving the intellectual property of all involved parties. This will strengthen the research in Lower Saxony by promotion and expansion of cooperation between science and industry on strategic sectors. Moreover, greater transparency in the use of public funds and in the development of research activities is enabled.},
author = {Ferenz, Stephan and {Penaherrera Vaca},
Fernando Andres and Wagner, Henrik and Eckhoff, Sarah and Fayed, Sarah and Lege, Tobias and Ofenloch, Annika and Petznik, Jan and Poppinga, Thomas and Werth, Oliver and Breitner, Michael and Engel, Bernd and K{\"u}hl, Lars and Lehnhoff, Sebastian and Nie{\ss}e, Astrid and Rolink, Johannes and Schuldt, Frank},
date = {2021},
title = {ZLE Open Science Declaration},
url = {https://zenodo.org/record/5221234},
publisher = {Zenodo},
doi = {10.5281/zenodo.5221234},
file = {Ferenz, Penaherrera Vaca et al. 2021 - ZLE Open Science Declaration:Attachments/Ferenz, Penaherrera Vaca et al. 2021 - ZLE Open Science Declaration.pdf:application/pdf}
}
A. Nieße, S. Ferenz, S. Auer, S. Dähling, S. Decker, J. Dorfner, R. German, M. Gütlein, V. Hagenmeyer, S. Henni, S. Lehnhoff, J. Lilliestam, L. Lu, F. Mey, A. Monti, C. Muschner, J. Reinkensmeier, M. Richter, M. Schäfer, P. Staudt, W. Süß, B. Vogel, C. Weinhardt, A. Weidlich, and J. Zilles, Nfdi4energy -- National Research Data Infrastructure for the Interdisciplinary Energy System ResearchZenodo.
doi: 10.5281/zenodo.6772013
@misc{Niee.2022, abstract = {The necessary transformation of energy systems towards net zero greenhouse gas emissions provides a plethora of new research challenges. New interconnections between different energy sectors, such as power, heat and mobility, increase the system's complexity. In this context, the digitalisation towards cyber-physical energy systems (CPES) alleviates change, and equally affects technical, social, and societal topics, as well as the mode of research in the CPES research community. Research efforts towards CPES heavily rely on modelling and (co-)simulation-based approaches. Tracking of models together with all data creates a complex software and data management challenge, which needs to be addressed in each research project. To this end, nfdi4energy covers the whole research and transfer cycle of projects in energy system research ranging from (1) identifying relevant competences for a project; (2) defining relevant scenarios and experimental setup; (3) integrating models and data; coupling tools and laboratories; (4) extracting results, facilitating public consultation; to (5) identifying research challenges for follow-up activities. We define the following key objectives: (1) Establish common research community services for FAIR data, models, and processes in energy system research and motivate its use in the community. (2) Allow traceability, reproducibility, and transparency of results for the scientific community as well as for the society, improving the overall FAIRness. (3) Enable and motivate the involvement of society for the identification and solution of relevant research questions. (4) Promote better collaboration and knowledge transfer between scientific research institutes and business partners via FAIR research data management. (5)~Simplify identification, integration, and coordination of simulation-based models. (6) Integrate the provided services for energy system research within the wider NFDI ecosystem to improve cross-domain collaboration. To fulfil these objectives, nfdi4energy concentrates on five key services to provide a non-discriminatory access to digital research objects: (1) Competence to help to navigate the interdisciplinary research field, (2) Best Practices to get information about successful conduct of research including research data management, (3) Registry to find suitable data and software, (4) Simulation to couple existing simulations and, therefore, reuse software artefacts, and (5) Transparency to involve more stakeholders in all research stages. With these services, nfdi4energy aims to develop and provide an open and FAIR research ecosystem in the energy system domain containing a large share of common workflows from data gathering to the inclusion into research software, together with data publications for researchers spanning from single component development (like battery storage systems or other new smart grid equipment) up to system-of-systems research (based on mathematical or analytical models).},
author = {Nie{\ss}e, Astrid and Ferenz, Stephan and Auer, S{\"o}ren and D{\"a}hling, Stefan and Decker, Stefan and Dorfner, Johannes and German, Reinhard and G{\"u}tlein, Moritz and Hagenmeyer, Veit and Henni, Sarah and Lehnhoff, Sebastian and Lilliestam, Johan and Lu, Linna and Mey, Franziska and Monti, Antonello and Muschner, Christoph and Reinkensmeier, Jan and Richter, Mascha and Sch{\"a}fer, Mirko and Staudt, Philipp and S{\"u}{\ss},
Wolfgang and Vogel, Berthold and Weinhardt, Christof and Weidlich, Anke and Zilles, Julia},
date = {2022},
title = {nfdi4energy -- National Research Data Infrastructure for the Interdisciplinary Energy System Research},
url = {https://zenodo.org/record/6772013},
publisher = {Zenodo},
doi = {10.5281/zenodo.6772013},
file = {Nie{\ss}e, Ferenz et al. 2022 - nfdi4energy:Attachments/Nie{\ss}e, Ferenz et al. 2022 - nfdi4energy.pdf:application/pdf}
}
A. Nieße, S. Ferenz, S. Auer, R. German, V. Hagenmeyer, S. Lehnhoff, J. Liliestam, A. Monti, M. Richter, B. Vogel, A. Weidlich, and C. Weinhardt, National Research Data Infrastructure for Interdisciplinary Energy System ResearchZenodo.
doi: 10.5281/zenodo.7314122
@misc{Niee.2022b, abstract = {nfdi4energy is a new consortium recommended for funding in the third and final funding round of the National Research Data Infrastructure (NFDI). It focuses on energy system research which heavily rely on modelling and (co-)simulation-based approaches. Tracking of models together with all data creates a complex software and data management challenge, which needs to be addressed in each research project. Therefore, the handling of research data and software presents a key motivation for nfdi4energy. To this end, nfdi4energy covers the whole research and transfer cycle of projects in energy system research ranging from (1) identifying relevant competencies for a research field; (2) defining relevant scenarios and experimental setup; (3) integrating models and data, coupling tools and laboratories; (4) extracting results, facilitating public consultation; to (5) identifying research challenges for follow-up activities. We define the following key objectives for nfdi4energy: (1) Establish common research community services for FAIR data, models, and processes in energy system research and motivate its use in the community. (2) Allow traceability, reproducibility, and transparency of results for the scientific community as well as for the society, improving the overall FAIRness. (3) Enable and motivate the involvement of society for the identification and solution of relevant research questions. (4) Promote better collaboration and knowledge transfer between scientific research institutes and business partners via FAIR research data management. (5) Simplify identification, integration, and coordination of simulation-based models. (6) Integrate the provided services for energy system research within the wider NFDI ecosystem to improve cross-domain collaboration. With our poster we would like to present the general ideas behind nfdi4nergy and discuss possible connection points to energy system research, especially reflecting the needs of the research community.},
author = {Nie{\ss}e, Astrid and Ferenz, Stephan and Auer, S{\"o}ren and German, Reinhard and Hagenmeyer, Veit and Lehnhoff, Sebastian and Liliestam, Johan and Monti, Antonello and Richter, Mascha and Vogel, Berthold and Weidlich, Anke and Weinhardt, Christof},
date = {2022},
title = {National Research Data Infrastructure for Interdisciplinary Energy System Research},
url = {https://zenodo.org/record/7314122},
publisher = {Zenodo},
doi = {10.5281/zenodo.7314122},
file = {Nie{\ss}e, Ferenz et al. 2022 - National Research Data Infrastructure:Attachments/Nie{\ss}e, Ferenz et al. 2022 - National Research Data Infrastructure.pdf:application/pdf}
J. Sager, C. Wegkamp, A. Niesse, and B. Engel, "Effect of the Quantity and Penetration of Energy Resources on the Incentivization of Grid-Beneficial Behavior in Prosumer Households" in Proc. ETG Kongress 2025; Voller Energie--Heute Und Morgen., 2025.
@inproceedings{ title = {Effect of the {{Quantity}} and {{Penetration}} of {{Energy Resources}} on the {{Incentivization}} of {{Grid-Beneficial Behavior}} in {{Prosumer Households}}},
booktitle = {{{ETG Kongress}} 2025; {{Voller Energie}}--Heute Und Morgen.},
author = {Sager, Jens and Wegkamp, Carsten and Niesse, Astrid and Engel, Bernd},
year = 2025, pages = {860--865},
publisher = {VDE},
file = {/home/rschrage/Zotero/storage/BJBF2KGY/11201961.html}
}
Stephan Ferenz, Oliver Werth, and Astrid Nieß e, "Requirements for a Metadata Scheme to Enable FAIR Energy Research Software" Electronic Communications of the EASST, vol. 83.
2025.
@article{ title = {Requirements for a {{Metadata Scheme}} to {{Enable FAIR Energy Research Software}}},
author = {{Stephan Ferenz} and {Oliver Werth} and {Astrid Nie\ss e}},
year = 2025, journal = {Electronic Communications of the EASST},
volume = {83},
issn = {1863-2122},
abstract = {Energy Research Software (ERS) plays a significant role in energy research, by aiding with visualization, simulation, and analysis. To enhance its efficiency, metadata are crucial for better findability, accessibility, interoperability, and reusability (FAIR) of research software. The current approaches to metadata for ERS have multiple limitations, e.g., they are not based on a systematic approach to include the diverse requirements of energy researchers. To address this issue, a qualitative study was conducted to gather specific requirements for metadata for ERS. The findings show the need for additional metadata elements for research software, e.g., on the community or the support options. Also, domain-specific metadata are required, e.g., on time and geographical scope of an ERS. Subsequently, a domain model was developed based on the requirements that lays the foundation for creating a metadata scheme for ERS.},
langid = {english}
}
A. Steinert, S. Ferenz, and A. Niesse, "Choosing the Right Ontology to Describe Research Data in the Energy Domain" ACM SIGEnergy Energy Informatics Review, vol. 4, iss. 4.
2025.
doi: 10.1145/3717413.3717417
@article{ title = {Choosing the {{Right Ontology}} to {{Describe Research Data}} in the {{Energy Domain}}},
author = {Steinert, Alexandro and Ferenz, Stephan and Niesse, Astrid},
year = 2025, journal = {ACM SIGEnergy Energy Informatics Review},
volume = {4},
number = {4},
pages = {33--48},
doi = {10.1145/3717413.3717417},
abstract = {As in all disciplines, increasing the FAIRness (findability, accessibility, interoperability, and reusability) of research data and software is a goal in energy research. In order to achieve this, it is important to identify the most appropriate ontology for the description of research data and software. However, despite the importance of this task, it still presents a significant challenge. While there are some comparisons of ontologies, a gap exists in assessing their usefulness according to ontology metadata. This paper fills this gap by defining 21 criteria sorted into four categories to help researchers choose ontologies in the energy domain. The criteria are used to compare eight ontologies for energy research to showcase their use and analyze the ontologies. The analysis reveals the Open Energy Ontology (OEO) as the top-ranked ontology. This underscores the importance of metadata comparison in ontology selection and highlights the benefits of incorporating metadata criteria into ontology terminology services to support researchers.},
file = {/home/rschrage/Zotero/storage/WT6BW8QG/Steinert et al. - 2025 - Choosing the Right Ontology to Describe Research Data in the Energy Domain.pdf}
}
W. Hasselbring, S. Druskat, J. Bernoth, P. Betker, M. Felderer, S. Ferenz, B. Hermann, A. Lamprecht, J. Linxweiler, A. Prat, B. Rumpe, K. Schoening-Stierand, and S. Yang, "Multi-Dimensional Research Software Categorization" Computing in Science & Engineering.
2025.
doi: 10.1109/MCSE.2025.3555023
@article{ title = {Multi-{{Dimensional Research Software Categorization}}},
author = {Hasselbring, Wilhelm and Druskat, Stephan and Bernoth, Jan and Betker, Philine and Felderer, Michael and Ferenz, Stephan and Hermann, Ben and Lamprecht, Anna-Lena and Linxweiler, Jan and Prat, Arnau and Rumpe, Bernhard and {Schoening-Stierand},
Katrin and Yang, Shinhyung},
year = 2025, journal = {Computing in Science \& Engineering},
pages = {1--10},
issn = {1558-366X},
doi = {10.1109/MCSE.2025.3555023},
abstract = {Research software has been categorized in different contexts to serve different goals. We start with a look at what research software is, before we discuss the purpose of research software categories. We propose a multi-dimensional categorization of research software. We present a template for characterizing such categories. As selected dimensions, we present our proposed role-based, readiness-based, developer-based, and dissemination-based categories. Since our work has been inspired by various previous efforts to categorize research software, we discuss them as related works. We characterize all these categories via the previously introduced template, to enable a systematic comparison. We report on the multi-dimensional categorization of selected research software examples.},
keywords = {Aerospace engineering,Analytical models,Data collection,Data models,Data visualization,Monitoring,Numerical models,Software,Software development management,Software engineering},
file = {/home/rschrage/Zotero/storage/GNGHQKLM/Hasselbring et al. - 2025 - Multidimensional Research Software Categorization.pdf;/home/rschrage/Zotero/storage/UNKGW5BB/Hasselbring et al. - 2025 - Multi-Dimensional Research Software Categorization.pdf;/home/rschrage/Zotero/storage/DP47IFUX/authors.html}
}
C. S. B. Clausen, S. Lehnhoff, J. S. Schwarz, B. N. Jørgensen, and Z. G. Ma, Challenges in Transitioning from Co-simulation to Practical Application: A Case Study on Economic Emission Dispatch in a Greenhouse CompartmentCham: Springer Nature Switzerland.
2025.
doi: 10.1007/978-3-031-74738-0_12
@incollection{ title = {Challenges in {{Transitioning}} from {{Co-simulation}} to {{Practical Application}}: {{A Case Study}} on {{Economic Emission Dispatch}} in a {{Greenhouse Compartment}}},
booktitle = {Energy {{Informatics}}},
author = {Clausen, Christian Skafte Beck and Lehnhoff, Sebastian and Schwarz, Jan S{\"o}ren and J{\o}rgensen, Bo N{\o}rregaard and Ma, Zheng Grace},
editor = {J{\o}rgensen, Bo N{\o}rregaard and Ma, Zheng Grace and Wijaya, Fransisco Danang and Irnawan, Roni and Sarjiya, Sarjiya},
year = 2025, series = {Lecture {{Notes}} in {{Computer Science}}},
volume = {15271},
pages = {173--192},
publisher = {Springer Nature Switzerland},
address = {Cham},
doi = {10.1007/978-3-031-74738-0_12},
isbn = {978-3-031-74737-3}
}
S. Ferenz, E. Frost, R. Schrage, T. Wolgast, I. Beyers, O. Karras, O. Werth, and A. Nieße, "Ten Recommendations for Engineering Research Software in Energy Research" in Proc. Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, Rotterdam Netherlands, 2025.
doi: 10.1145/3679240.3734606
@inproceedings{ title = {Ten {{Recommendations}} for {{Engineering Research Software}} in {{Energy Research}}},
booktitle = {Proceedings of the 16th {{ACM International Conference}} on {{Future}} and {{Sustainable Energy Systems}}},
author = {Ferenz, Stephan and Frost, Emilie and Schrage, Rico and Wolgast, Thomas and Beyers, Inga and Karras, Oliver and Werth, Oliver and Nie{\ss}e, Astrid},
year = 2025, month = jun, pages = {446--459},
publisher = {ACM},
address = {Rotterdam Netherlands},
doi = {10.1145/3679240.3734606},
isbn = {979-8-4007-1125-1},
keywords = {Energy Research,Energy Research Software,Energy System,Power System,Research Software Engineering,Smart Grid,Software Development},
file = {/home/rschrage/Zotero/storage/EFBU4LG4/Ferenz et al. - 2025 - Ten Recommendations for Engineering Research Software in Energy Research.pdf}
}
M. Radtke, E. Frost, A. Nieße, and S. Lehnhoff, "Communication Modeling Approaches in Energy System Applications: A Systematic Overview" IEEE Access, vol. 13.
2025.
doi: 10.1109/ACCESS.2025.3566594
@article{ title = {Communication {{Modeling Approaches}} in {{Energy System Applications}}: {{A Systematic Overview}}},
shorttitle = {Communication {{Modeling Approaches}} in {{Energy System Applications}}},
author = {Radtke, Malin and Frost, Emilie and Nie{\ss}e, Astrid and Lehnhoff, Sebastian},
year = 2025, journal = {IEEE Access},
volume = {13},
pages = {80329--80339},
issn = {2169-3536},
doi = {10.1109/ACCESS.2025.3566594},
urldate = {2026-02-08},
abstract = {The integration and consideration of communication networks in energy system studies is of critical importance due to the mutual dependencies that exist between the systems. These interdependencies have an impact on the overall performance, stability, and robustness of the energy system. There is no comprehensive guide or overview for integrating communication into power system applications, despite its recognized importance and the wide variety of existing solutions that take into account interdependencies. By providing a detailed overview, characterization, and classification of existing approaches to communication modeling, this paper contributes to filling this gap in existing guidelines or general descriptions for the integration of communication in power system applications. In addition to discussing the multiple objectives associated with different focus for modeling communication, we consider the required data and system perspectives. Therefore, this paper provides guidance on the selection of a suitable and applicable communication modeling approach, given the specific objective and prerequisite.},
keywords = {Communication networks,cyber-physical energy systems,Data models,Delays,modeling,Monitoring,Network topology,Optimization,Power system stability,Robustness,simulation,Topology,Wide area networks},
file = {/home/rschrage/Zotero/storage/3E4G6BSY/Radtke et al. - 2025 - Communication Modeling Approaches in Energy System Applications A Systematic Overview.pdf}
}
X. Yan, J. Woelke, B. Bensmann, C. Eckert, R. Hanke-Rauschenbach, and A. Nieße, "Cross-Method Overview of Fleet-Based Machine Health Estimation and Prediction: A Practical Guide for Industrial Applications" IEEE Access, vol. 13.
2025.
doi: 10.1109/ACCESS.2025.3556251
@article{ title = {Cross-{{Method Overview}} of {{Fleet-Based Machine Health Estimation}} and {{Prediction}}: {{A Practical Guide}} for {{Industrial Applications}}},
shorttitle = {Cross-{{Method Overview}} of {{Fleet-Based Machine Health Estimation}} and {{Prediction}}},
author = {Yan, Xuqian and Woelke, Janis and Bensmann, Boris and Eckert, Christoph and {Hanke-Rauschenbach},
Richard and Nie{\ss}e, Astrid},
year = 2025, journal = {IEEE Access},
volume = {13},
pages = {60131--60147},
issn = {2169-3536},
doi = {10.1109/ACCESS.2025.3556251},
urldate = {2026-02-08},
abstract = {A reliable assessment of industrial machine health is crucial for economical and safe operation. To this end, data-driven approaches have gained prominence owing to the advancements in data acquisition and machine learning techniques. However, practical applications of these approaches often confront the challenge of data scarcity, due to heterogeneity among machines. To address the data scarcity problem, this study delves into health estimation and prediction methods that utilize fleet data. Unlike existing review papers that mainly focus on one specific fleet-based method, this work offers a cross-method overview. The methods are classified into six categories. All share three steps: data selection, model development, and model adjustment. This work also provides a step-by-step guide for industry practitioners to incorporate fleet knowledge, which emphasizes business requirements and highlights an iterative method development process. It helps industrial practitioners navigate through the complexities of various approaches to utilize fleet knowledge, paving the way to bring advanced methods to industrial implementations.},
keywords = {Data models,Degradation,Estimation,Fleet knowledge,health estimation,health prediction,industrial application,Integrated circuit modeling,Mathematical models,Prognostics and health management,Reviews,Training data,transfer learning,Transfer learning,Unsupervised learning},
file = {/home/rschrage/Zotero/storage/FCK6I6CC/Yan et al. - 2025 - Cross-Method Overview of Fleet-Based Machine Health Estimation and Prediction A Practical Guide for.pdf}
}
S. Ferenz, O. Werth, and A. Nieße, "Requirements for a Metadata Scheme to Enable FAIR Energy Research Software" Electronic Communications of the EASST, vol. 83.
2025.
doi: 10.14279/eceasst.v83.2594
@article{ title = {Requirements for a {{Metadata Scheme}} to {{Enable FAIR Energy Research Software}}},
author = {Ferenz, Stephan and Werth, Oliver and Nie{\ss}e, Astrid},
year = 2025, month = feb, journal = {Electronic Communications of the EASST},
volume = {83},
issn = {1863-2122},
doi = {10.14279/eceasst.v83.2594},
abstract = {Energy Research Software (ERS) plays a significant role in energy research, by aiding with visualization, simulation, and analysis. To enhance its efficiency, metadata are crucial for better findability, accessibility, interoperability, and reusability (FAIR) of research software. The current approaches to metadata for ERS have multiple limitations, e.g., they are not based on a systematic approach to include the diverse requirements of energy researchers. To address this issue, a qualitative study was conducted to gather specific requirements for metadata for ERS. The findings show the need for additional metadata elements for research software, e.g., on the community or the support options. Also, domain-specific metadata are required, e.g., on time and geographical scope of an ERS. Subsequently, a domain model was developed based on the requirements that lays the foundation for creating a metadata scheme for ERS.},
copyright = {Copyright (c) 2025 Stephan Ferenz, Oliver Werth, Astrid Nie\ss e},
langid = {english},
keywords = {Energy Research Software,Information Requirements,Metadata Schema,Metadata Scheme},
file = {/home/rschrage/Zotero/storage/Q7URGFNI/Ferenz et al. - 2025 - Requirements for a Metadata Scheme to Enable FAIR Energy Research Software.pdf}
}
T. Wolgast and A. Nieße, "A General Approach of Automated Environment Design for Learning the Optimal Power Flow" in Proc. Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, New York, NY, USA, 2025.
doi: 10.1145/3679240.3734626
@inproceedings{ title = {A General Approach of Automated Environment Design for Learning the Optimal Power Flow},
booktitle = {Proceedings of the 16th {{ACM}} International Conference on Future and Sustainable Energy Systems},
author = {Wolgast, Thomas and Nie{\ss}e, Astrid},
year = 2025, series = {E-Energy '25},
pages = {108--121},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3679240.3734626},
abstract = {Reinforcement learning (RL) algorithms are increasingly used to solve the optimal power flow (OPF) problem. Yet, the question of how to design RL environments to maximize training performance remains unanswered, both for the OPF and the general case. We propose a general approach for automated RL environment design by utilizing multi-objective optimization. For that, we use the hyperparameter optimization (HPO) framework, which allows the reuse of existing HPO algorithms and methods. On five OPF benchmark problems, we demonstrate that our automated design approach consistently outperforms a manually created baseline environment design. Further, we use statistical analyses to determine which environment design decisions are especially important for performance, resulting in multiple novel insights on how RL-OPF environments should be designed. Finally, we discuss the risk of overfitting the environment to the utilized RL algorithm. To the best of our knowledge, this is the first general approach for automated RL environment design.1},
isbn = {979-8-4007-1125-1},
keywords = {AutoML,Economic Dispatch,Environment Design,Load Shedding,Machine Learning,Multi-Objective Optimization,Optimal Power Flow,Reactive Power Market,Reinforcement Learning,Voltage Control},
file = {/home/rschrage/Zotero/storage/J2PVPKWW/Wolgast und Nieße - 2025 - A General Approach of Automated Environment Design for Learning the Optimal Power Flow.pdf}
}
E. Veith, A. Wellßow, T. Logemann, and E. Frost, "Cover Me: Mitigating Multi-Agent System Failure through Reinforcement Learning---a Technology Demonstration" in Proc. Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, New York, NY, USA, 2025.
doi: 10.1145/3679240.3735501
@inproceedings{ title = {Cover Me: {{Mitigating}} Multi-Agent System Failure through Reinforcement Learning---a Technology Demonstration},
booktitle = {Proceedings of the 16th {{ACM}} International Conference on Future and Sustainable Energy Systems},
author = {Veith, Eric and Well{\ss}ow, Arlena and Logemann, Torben and Frost, Emilie},
year = 2025, series = {E-Energy '25},
pages = {612--613},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3679240.3735501},
abstract = {Agent systems are common subjects of investigation in power systems research. Multi-agent systems are robust and can provide guarantees with regards to convergence and solution quality, but cannot show resilience against circumstances not considered at design time. Deep reinforcement learning cannot per se give guarantees, but can adapt to unforeseen situations. The technology demonstration showcases a hybrid of a multi-agent system and a reinforcement-based agent, where the latter safeguards the former against failure.},
isbn = {979-8-4007-1125-1},
keywords = {Adversarial Resilience Learning,COHDA,Deep Reinforcement Learning,Multi-Agent Systems},
file = {/home/rschrage/Zotero/storage/PHPX6JHT/Veith et al. - 2025 - Cover Me Mitigating Multi-Agent System Failure through Reinforcement Learning—A Technology Demonstr.pdf}
}
E. Frost, A. Afrin, A. Nieße, and O. Ardakanian, "Robustness in Multi-Agent Energy Systems: The Trade-off between Decentralization and Security" in Proc. Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, New York, NY, USA, 2025.
doi: 10.1145/3679240.3734682
@inproceedings{ title = {Robustness in Multi-Agent Energy Systems: {{The}} Trade-off between Decentralization and Security},
booktitle = {Proceedings of the 16th {{ACM}} International Conference on Future and Sustainable Energy Systems},
author = {Frost, Emilie and Afrin, Afia and Nie{\ss}e, Astrid and Ardakanian, Omid},
year = 2025, series = {E-Energy '25},
pages = {994--995},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3679240.3734682},
abstract = {This poster aims to shed light on the impact of malicious agents in multi-agent energy systems controlled in a decentralized fashion, and present an effective method to address this vulnerability.},
isbn = {979-8-4007-1125-1},
keywords = {Agent Systems,Cyber Attacks,Cyber-Physical Energy Systems},
file = {/home/rschrage/Zotero/storage/DV6YSAJW/Frost et al. - 2025 - Robustness in Multi-Agent Energy Systems The Trade-Off between Decentralization and Security.pdf}
}
P. Heess, S. Holly, M. Körner, A. Nieße, M. Radtke, L. Schick, S. Stark, J. Strüker, and T. Zwede, "A Multi-Agent Approach with Verifiable and Data-Sovereign Information Flows for Decentralizing Redispatch in Distributed Energy Systems" Energy Informatics, vol. 8, iss. 1, p. 24.
2025.
doi: 10.1186/s42162-024-00464-7
@article{ title = {A Multi-Agent Approach with Verifiable and Data-Sovereign Information Flows for Decentralizing Redispatch in Distributed Energy Systems},
author = {Heess, Paula and Holly, Stefanie and K{\"o}rner, Marc-Fabian and Nie{\ss}e, Astrid and Radtke, Malin and Schick, Leo and Stark, Sanja and Str{\"u}ker, Jens and Zwede, Till},
year = 2025, month = feb, journal = {Energy Informatics},
volume = {8},
number = {1},
pages = {24},
issn = {2520-8942},
doi = {10.1186/s42162-024-00464-7},
urldate = {2026-02-08},
abstract = {The need to harness the flexibility of small-scale assets for system stabilization, including redispatch, is growing rapidly with the increasing prevalence of distributed generation, such as photovoltaic systems and heavy loads, in particular heat pumps and electric vehicles. Integrating these resources into the redispatch process presents special requirements: On the one hand, building trust with the owners of such assets requires privacy and a reasonable degree of autonomy and engagement. On the other hand, besides the system's scalability and robustness, the verifiability and traceability of provided data are essential for grid operators who depend on the reliable provision of redispatch services. To date, research and practice have encountered significant challenges in defining a system that enables the inclusion of decentralized flexibilities while satisfying necessary requirements. To that end, we present a novel conceptual system design that addresses these challenges by combining a multi-agent system (MAS) approach with verifiable information flows through digital self-sovereign identities (SSIs) and Zero-Knowledge-Proofs (ZKPs). Single agents, as edge devices, operate locally and autonomously, respecting customer preferences, while MAS provide the ability to design robust, reliable, and scalable systems. SSI enables agents to manage their data autonomously, while ZKPs are used to protect users' privacy through selective data disclosure which allows the verification of the correctness of information without disclosing the underlying data. To validate the feasibility of this design, a case study is included to demonstrate the functionality of key sub-processes, such as baseline optimization, aggregation, and disaggregation, in a realistic scenario. This case study, supported by a prototype implementation, provides initial evidence of the concept's soundness and lays the groundwork for future evaluation through extensive simulations and field testing. Together, the technologies included in the conceptual system design balance full transparency for grid operators with autonomy and data economy for asset owners.},
langid = {english},
keywords = {Data-sovereignty,Decentralized redispatch,Small-scale flexibility}
}
P. H. Tiemann, M. Nebel-Wenner, S. Holly, E. Frost, and A. Nieße, "Amplify: Multi-purpose Flexibility Model to Pool Battery Energy Storage Systems" Applied Energy, vol. 381, p. 125063.
2025.
doi: 10.1016/j.apenergy.2024.125063
@article{ title = {Amplify: {{Multi-purpose}} Flexibility Model to Pool Battery Energy Storage Systems},
shorttitle = {Amplify},
author = {Tiemann, Paul Hendrik and {Nebel-Wenner},
Marvin and Holly, Stefanie and Frost, Emilie and Nie{\ss}e, Astrid},
year = 2025, month = mar, journal = {Applied Energy},
volume = {381},
pages = {125063},
issn = {0306-2619},
doi = {10.1016/j.apenergy.2024.125063},
urldate = {2026-02-08},
abstract = {The multi-purpose usage of battery energy storage systems (BESSs) increases the exploitation of their flexibility potential. This can be further enhanced when numerous small BESSs are combined into a swarm and marketed collectively by an aggregator. To this end, a unified representation of remaining flexibility for each BESS is needed that meets the requirements of both, a multi-purpose usage and a distributed swarm design. In this work, we present a compact model called Amplify (for abstract multi-purpose-limited flexibility). It can be used by BESSs to determine how much flexibility remains after fulfilling a primary application and accepting additional obligations. It includes an integrated detection of conflicts in the planned schedule of a BESS. The validity of the presented flexibility model is discussed based on a thorough evaluation. It was shown, that the model is quickly computable and does not need much data volume during transmission to the aggregator. Amplify is already used in real operation by an industrial partner.},
keywords = {Battery storage system,BESS pooling,Conflict detection,Multi-purpose usage,Operational flexibility},
file = {/home/rschrage/Zotero/storage/TGN67B2S/Tiemann et al. - 2025 - Amplify Multi-purpose flexibility model to pool battery energy storage systems.pdf;/home/rschrage/Zotero/storage/7S7HFIXW/S0306261924024474.html}
}
X. Yan, L. Helmers, K. Zhou, and A. Nieße, "Fleet-Based Degradation State Quantification for Industrial Water Electrolyzers" Electrochemical Science Advances, vol. 5, iss. 3, p. 70002.
2025.
doi: 10.1002/elsa.70002
@article{ title = {Fleet-{{Based Degradation State Quantification}} for {{Industrial Water Electrolyzers}}},
author = {Yan, Xuqian and Helmers, Lennard and Zhou, Kunyuan and Nie{\ss}e, Astrid},
year = 2025, month = jun, journal = {Electrochemical Science Advances},
volume = {5},
number = {3},
pages = {e70002},
publisher = {John Wiley \& Sons, Ltd},
issn = {2698-5977},
doi = {10.1002/elsa.70002},
urldate = {2026-02-08},
abstract = {ABSTRACT A reliable and continuous assessment of the degradation state of industrial water electrolyzers is crucial for maintenance planning and dispatch optimization, thus facilitating risk management for both suppliers and operators. Although voltage is a widely used and easily measurable degradation indicator, its effectiveness is compromised in industrial settings due to the impact of arbitrary operating conditions. Existing methods to correct the impact of operating conditions often rely on measuring characteristic curves, which typically only provide a single-dimensional correction and do not allow varying corrections over time. We propose a data-driven method for degradation state quantification that adjusts the measured voltage under arbitrary operating conditions to a reference condition, using an empirical voltage model and degradation history from a fleet of electrolyzers. This method involves fitting the empirical voltage model for each time series segment and calculating the voltage under the reference condition. To assist model fitting under limited data coverage, the method utilizes a Bayesian approach to incorporate fleet knowledge?an aggregation of the degradation trajectories of the electrolyzer fleet. This method was validated using both synthetic data and operation data from 12 industrial electrolyzers with 1?3 years of operation history, including in-depth sensitivity analyses on the data coverage, fleet?target discrepancy, and fleet size. Results proved the superiority of the proposed fleet-based method over the benchmark method without using fleet~knowledge.},
keywords = {condition monitoring,data-driven modelling,degradation,electrolyzer,hydrogen,state of health}
M. Radtke and E. Frost, "Simulative Analysis of Multi-Agent Systems in Energy Systems: Impact of Communication Networks:" in Proc. Proceedings of the 17th International Conference on Agents and Artificial Intelligence, Porto, Portugal, 2025.
doi: 10.5220/0013241400003890
@inproceedings{ title = {Simulative {{Analysis}} of {{Multi-Agent Systems}} in {{Energy Systems}}: {{Impact}} of {{Communication Networks}}:},
shorttitle = {Simulative {{Analysis}} of {{Multi-Agent Systems}} in {{Energy Systems}}},
booktitle = {Proceedings of the 17th {{International Conference}} on {{Agents}} and {{Artificial Intelligence}}},
author = {Radtke, Malin and Frost, Emilie},
year = 2025, pages = {523--530},
publisher = {{SCITEPRESS - Science and Technology Publications}},
address = {Porto, Portugal},
doi = {10.5220/0013241400003890},
urldate = {2026-02-08},
abstract = {This paper addresses the growing use of Multi-Agent Systems (MASs) in power systems, particularly within the context of Cyber-Physical Energy Systems (CPES). The reliance on Information and Communication Technologies (ICT) is critical for coordinating control and ensuring reliable information exchange. Disruptions in the ICT system can degrade overall system performance. Given the complexity of these systems, systematic testing and accurate simulation of MAS behavior under the influence of communication networks are essential to ensure stability and security of supply. The paper provides a structured perspective on how to analyze MASs performance under different communication conditions in CPES, offering recommendations based on literature. It serves as a guide to understanding the challenges posed by the integration of ICT into power systems, with guidelines that can be used and extended to evaluate and improve system performance.},
isbn = {978-989-758-737-5},
langid = {english},
file = {/home/rschrage/Zotero/storage/QMKCMUEV/Radtke und Frost - 2025 - Simulative Analysis of Multi-Agent Systems in Energy Systems Impact of Communication Networks.pdf}
}
S. Ferenz, A. Jafarbigloo, O. Werth, and A. Nieße, "SMECS: A Software Metadata Extraction and Curation Software" Electronic Communications of the EASST, vol. 85.
2025.
doi: 10.14279/eceasst.v85.2708
@article{ title = {{{SMECS}}: {{A Software Metadata Extraction}} and {{Curation Software}}},
shorttitle = {{{SMECS}}},
author = {Ferenz, Stephan and Jafarbigloo, Aida and Werth, Oliver and Nie{\ss}e, Astrid},
year = 2025, month = dec, journal = {Electronic Communications of the EASST},
volume = {85},
issn = {1863-2122},
doi = {10.14279/eceasst.v85.2708},
urldate = {2025-12-16},
abstract = {Metadata play a crucial role in adopting the FAIR principles for research software and enables findability and reusability. However, creating high-quality metadata can be resource-intensive for researchers and research software engineers. To address this challenge, we developed the Software Metadata Extraction and Curation Software (SMECS) which integrates the extraction of metadata from existing sources together with a user-friendly interface for metadata curation. SMECS extracts metadata from online repositories such as GitHub and presents it to researchers through an interactive interface for further curation and export as a CodeMeta file. The usability of SMECS was evaluated through usability experiments which confirmed that SMECS provides a satisfactory user experience. SMECS supports the FAIRification of research software by simplifying metadata creation.},
copyright = {Copyright (c) 2025 Stephan Ferenz, Aida Jafarbigloo, Oliver Werth, Astrid Nie\ss e},
langid = {english},
keywords = {codemeta,FAIR4RS,metadata curation,metadata extraction,research software,software metadata,usability evaluation},
file = {/home/rschrage/Zotero/storage/5Q2GPCFS/Ferenz et al. - 2025 - SMECS A Software Metadata Extraction and Curation Software.pdf}
}
A. Wein, A. Steinert, J. S. Schwarz, L. Fuentes-Grau, Z. Pan, A. Monti, and A. Nieße, "Developing Interoperable Ontologies for Research Data Management in the Energy Domain" Proceedings of the Workshop on Metadata and Research (objects) Management for Linked Open Science (4.2024, Online).
2024.
@article{ title = {Developing {{Interoperable Ontologies}} for {{Research Data Management}} in the {{Energy Domain}}},
author = {Wein, Amanda and Steinert, Alexandro and Schwarz, Jan S{\"o}ren and {Fuentes-Grau},
Laura and Pan, Zhiyu and Monti, Antonello and Nie{\ss}e, Astrid},
year = 2024, journal = {Proceedings of the Workshop on Metadata and Research (objects) Management for Linked Open Science (4.2024, Online)}
}
E. Frost, J. Heiken, M. Tröschel, and A. Nieße, "Detecting and Analyzing Agent Communication Anomalies in Distributed Energy System Control" in Proc. ICAART 2024, 2024.
doi: 10.5220/0012378200003636
@inproceedings{ title = {Detecting and {{Analyzing Agent Communication Anomalies}} in {{Distributed Energy System Control}}},
booktitle = {{{ICAART}} 2024},
author = {Frost, Emilie and Heiken, Julia and Tr{\"o}schel, Martin and Nie{\ss}e, Astrid},
year = 2024, pages = {625--632},
doi = {10.5220/0012378200003636}
}
T. Wolgast and A. Nieße, "Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning" IEEE Access, vol. 12.
2024.
doi: 10.1109/ACCESS.2024.3472480
@article{ title = {Approximating {{Energy Market Clearing}} and {{Bidding With Model-Based Reinforcement Learning}}},
author = {Wolgast, Thomas and Nie{\ss}e, Astrid},
year = 2024, journal = {IEEE Access},
volume = {12},
pages = {145106--145117},
doi = {10.1109/ACCESS.2024.3472480}
}
J. Sager and A. Nieße, "Combinatorial Chance-Constrained Economic Optimization of Distributed Energy Resources" Energy Informatics, vol. 7, iss. 1.
2024.
doi: 10.1186/s42162-024-00430-3
@article{ title = {Combinatorial Chance-Constrained Economic Optimization of Distributed Energy Resources},
author = {Sager, Jens and Nie{\ss}e, Astrid},
year = 2024, journal = {Energy Informatics},
volume = {7},
number = {1},
doi = {10.1186/s42162-024-00430-3}
}
T. Wolgast and A. Nieße, "Learning the Optimal Power Flow: Environment Design Matters" Energy and AI, p. 100410.
2024.
doi: 10.1016/j.egyai.2024.100410
@article{ title = {Learning the Optimal Power Flow: {{Environment}} Design Matters},
author = {Wolgast, Thomas and Nie{\ss}e, Astrid},
year = 2024, journal = {Energy and AI},
pages = {100410},
issn = {26665468},
doi = {10.1016/j.egyai.2024.100410}
}
Sager Jens and Schrage Rico, "Mango.Jl: A Julia-Based Multi-Agent Simulation Framework" Journal of Open Source Software, vol. 9, p. 7098.
2024.
doi: 10.21105/joss.07098
@article{ title = {Mango.Jl: {{A Julia-Based Multi-Agent Simulation Framework}}},
author = {{Sager Jens} and {Schrage Rico}},
year = 2024, journal = {Journal of Open Source Software},
volume = {9},
pages = {7098},
doi = {10.21105/joss.07098}
}
E. Frost, M. Radtke, M. Nebel-Wenner, F. Oest, and S. Stark, "Cosima-Mango: Investigating Multi-Agent System Robustness through Integrated Communication Simulation" SoftwareX, vol. 26, p. 101667.
2024.
doi: 10.1016/j.softx.2024.101667
@article{ title = {Cosima-Mango: {{Investigating Multi-Agent System}} Robustness through Integrated Communication Simulation},
author = {Frost, Emilie and Radtke, Malin and {Nebel-Wenner},
Marvin and Oest, Frauke and Stark, Sanja},
year = 2024, journal = {SoftwareX},
volume = {26},
pages = {101667},
issn = {23527110},
doi = {10.1016/j.softx.2024.101667}
}
S. Stark, E. Frost, and M. Nebel-Wenner, "Distributed Multi-objective Optimization in Cyber-Physical Energy Systems" ACM SIGEnergy Energy Informatics Review, vol. 4, iss. 2.
2024.
doi: 10.1145/3666043.3666046
@article{ title = {Distributed {{Multi-objective Optimization}} in {{Cyber-Physical Energy Systems}}},
author = {Stark, Sanja and Frost, Emilie and {Nebel-Wenner},
Marvin},
year = 2024, journal = {ACM SIGEnergy Energy Informatics Review},
volume = {4},
number = {2},
pages = {7--18},
doi = {10.1145/3666043.3666046}
}
R. Schrage, J. Sager, J. P. Hörding, and S. Holly, "Mango: A Modular Python-Based Agent Simulation Framework" SoftwareX, vol. 27, p. 101791.
2024.
doi: 10.1016/j.softx.2024.101791
@article{ title = {Mango: {{A}} Modular Python-Based Agent Simulation Framework},
author = {Schrage, Rico and Sager, Jens and H{\"o}rding, Jan Philipp and Holly, Stefanie},
year = 2024, journal = {SoftwareX},
volume = {27},
pages = {101791},
issn = {23527110},
doi = {10.1016/j.softx.2024.101791}
}
J. S. Schwarz, L. E. R. Perez, M. C. Pham, K. Heussen, and Q. T. Tran, "A Toolbox for Design of Experiments for Energy Systems in Co-Simulation and Hardware Tests" in Proc. 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES), Vienna, Austria, 2024.
doi: 10.1109/OSMSES62085.2024.10668967
@inproceedings{ title = {A {{Toolbox}} for {{Design}} of {{Experiments}} for {{Energy Systems}} in {{Co-Simulation}} and {{Hardware Tests}}},
booktitle = {2024 {{Open Source Modelling}} and {{Simulation}} of {{Energy Systems}} ({{OSMSES}})},
author = {Schwarz, Jan S{\"o}ren and Perez, Leonard Enrique Ramos and Pham, Minh Cong and Heussen, Kai and Tran, Quoc Tuan},
year = 2024, pages = {1--7},
publisher = {IEEE},
address = {Vienna, Austria},
doi = {10.1109/OSMSES62085.2024.10668967},
isbn = {979-8-3503-8468-0}
}
E. Frost and A. Nieße, "Communication Incidents in Self-Organising Cyber-Physical Energy Systems: Assessing Robustness" in Proc. 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES), Veliko Tarnovo, Bulgaria, 2024.
doi: 10.1109/CIEES62939.2024.10811119
@inproceedings{ title = {Communication {{Incidents}} in {{Self-Organising Cyber-Physical Energy Systems}}: {{Assessing Robustness}}},
booktitle = {2024 5th {{International Conference}} on {{Communications}},
{{Information}},
{{Electronic}} and {{Energy Systems}} ({{CIEES}})},
author = {Frost, Emilie and Nie{\ss}e, Astrid},
year = 2024, pages = {1--6},
publisher = {IEEE},
address = {Veliko Tarnovo, Bulgaria},
doi = {10.1109/CIEES62939.2024.10811119},
isbn = {979-8-3503-5286-3}
}
P. Kuckertz, J. Göpfert, O. Karras, D. Neuroth, J. Schönau, R. Pueblas, S. Ferenz, F. Engel, N. Pflugradt, J. M. Weinand, A. Nieße, S. Auer, and D. Stolten, "DataDesc: A Framework for Creating and Sharing Technical Metadata for Research Software Interfaces" Patterns, p. 101064.
2024.
doi: 10.1016/j.patter.2024.101064
@article{ title = {{{DataDesc}}: {{A}} Framework for Creating and Sharing Technical Metadata for Research Software Interfaces},
author = {Kuckertz, Patrick and G{\"o}pfert, Jan and Karras, Oliver and Neuroth, David and Sch{\"o}nau, Julian and Pueblas, Rodrigo and Ferenz, Stephan and Engel, Felix and Pflugradt, Noah and Weinand, Jann M. and Nie{\ss}e, Astrid and Auer, S{\"o}ren and Stolten, Detlef},
year = 2024, journal = {Patterns},
pages = {101064},
issn = {2666-3899},
doi = {10.1016/j.patter.2024.101064},
urldate = {2024-10-01},
abstract = {Summary The reuse of research software is central to research efficiency and academic exchange. The application of software enables researchers to reproduce, validate, and expand upon study findings. The analysis of open-source code aids in the comprehension, comparison, and integration of approaches. Often, however, no further use occurs because relevant software cannot be found or is incompatible with existing research processes. This results in repetitive software development, which impedes the advancement of individual researchers and entire research communities. In this article, the DataDesc (Data Description) framework is presented---an approach to describing data models of software interfaces with machine-actionable metadata. In addition to a specialized metadata schema, an exchange format and support tools for easy collection and the automated publishing of software documentation are introduced. This approach practically increases the FAIRness, i.e., findability, accessibility, interoperability, and reusability, of research software as well as effectively promotes its impact on research.},
keywords = {FAIR,interface description,machine actionable,metadata schema,RDM,research data management,semantic software description,software documentation,software metadata,software publication,software reuse},
file = {/home/rschrage/Zotero/storage/F29ISY49/Kuckertz et al. - 2024 - DataDesc A framework for creating and sharing technical metadata for research software interfaces.pdf;/home/rschrage/Zotero/storage/LPSKFT6C/S2666389924002149.html}
}
R. Schrage, "The Role of Coupling Points for Self-Organized Multi-Energy Grid Operation" in Proc. Abstracts of the 12th DACH+ Conference on Energy Informatics 2023, 2023.
@inproceedings{ title = {The {{Role}} of {{Coupling Points}} for {{Self-Organized Multi-Energy Grid Operation}}},
booktitle = {Abstracts of the 12th {{DACH}}+ {{Conference}} on {{Energy Informatics}} 2023},
author = {Schrage, Rico},
year = 2023, pages = {14--16}
}
R. Schrage and A. Nieße, "Influence of Adaptive Coupling Points on Coalition Formation in Multi-Energy Systems" Applied Network Science, vol. 8, iss. 1.
2023.
doi: 10.1007/s41109-023-00553-8
@article{ title = {Influence of Adaptive Coupling Points on Coalition Formation in Multi-Energy Systems},
author = {Schrage, Rico and Nie{\ss}e, Astrid},
year = 2023, journal = {Applied Network Science},
volume = {8},
number = {1},
doi = {10.1007/s41109-023-00553-8}
}
F. Oest, E. Frost, M. Radtke, and S. Lehnhoff, "Coupling OMNeT++ and Mosaik for Integrated Co-Simulation of ICT-Reliant Smart Grids" ACM SIGEnergy Energy Informatics Review, vol. 3, iss. 1.
2023.
doi: 10.1145/3607120.3607123
@article{ title = {Coupling {{OMNeT}}++ and {{Mosaik}} for {{Integrated Co-Simulation}} of {{ICT-Reliant Smart Grids}}},
author = {Oest, Frauke and Frost, Emilie and Radtke, Malin and Lehnhoff, Sebastian},
year = 2023, journal = {ACM SIGEnergy Energy Informatics Review},
volume = {3},
number = {1},
pages = {14--25},
doi = {10.1145/3607120.3607123}
}
T. Wolff and A. Nieße, "Dynamic Overlapping Coalition Formation in Electricity Markets: An Extended Formal Model" Energies, vol. 16, iss. 17, p. 6289.
2023.
doi: 10.3390/en16176289
@article{ title = {Dynamic {{Overlapping Coalition Formation}} in {{Electricity Markets}}: {{An Extended Formal Model}}},
author = {Wolff, Torge and Nie{\ss}e, Astrid},
year = 2023, journal = {Energies},
volume = {16},
number = {17},
pages = {6289},
doi = {10.3390/en16176289}
}
T. Wolgast, N. Wenninghoff, S. Balduin, E. Veith, B. Fraune, T. Woltjen, and A. Nieße, "ANALYSE --- Learning to Attack Cyber--Physical Energy Systems with Intelligent Agents" SoftwareX, vol. 23, p. 101484.
2023.
doi: 10.1016/j.softx.2023.101484
@article{ title = {{{ANALYSE}} --- {{Learning}} to Attack Cyber--Physical Energy Systems with Intelligent Agents},
author = {Wolgast, Thomas and Wenninghoff, Nils and Balduin, Stephan and Veith, Eric and Fraune, Bastian and Woltjen, Torben and Nie{\ss}e, Astrid},
year = 2023, journal = {SoftwareX},
volume = {23},
pages = {101484},
issn = {23527110},
doi = {10.1016/j.softx.2023.101484}
}
M. Radtke, C. Stucke, M. Trauernicht, C. Montag, F. Oest, E. Frost, J. Bremer, and S. Lehnhoff, "Integrating Agent-Based Control for Normal Operation in Interconnected Power and Communication Systems Simulation" in Proc. 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023.
doi: 10.1109/SSCI52147.2023.10371932
@inproceedings{ title = {Integrating {{Agent-Based Control}} for {{Normal Operation}} in {{Interconnected Power}} and {{Communication Systems Simulation}}},
booktitle = {2023 {{IEEE Symposium Series}} on {{Computational Intelligence}} ({{SSCI}})},
author = {Radtke, Malin and Stucke, Christoph and Trauernicht, Malte and Montag, Carsten and Oest, Frauke and Frost, Emilie and Bremer, J{\"o}rg and Lehnhoff, Sebastian},
year = 2023, pages = {228--233},
publisher = {IEEE},
address = {Mexico City, Mexico},
doi = {10.1109/SSCI52147.2023.10371932},
isbn = {978-1-6654-3065-4}
}
J. S. Schwarz, M. C. Pham, Q. T. Tran, and K. Heussen, "Scaling Analysis in a Multi-Energy System" in Proc. 2023 Asia Meeting on Environment and Electrical Engineering (EEE-AM), Hanoi, Vietnam, 2023.
doi: 10.1109/EEE-AM58328.2023.10395068
@inproceedings{ title = {Scaling {{Analysis}} in a {{Multi-Energy System}}},
booktitle = {2023 {{Asia Meeting}} on {{Environment}} and {{Electrical Engineering}} ({{EEE-AM}})},
author = {Schwarz, Jan Soeren and Pham, Minh Cong and Tran, Quoc Tuan and Heussen, Kai},
year = 2023, pages = {01--06},
publisher = {IEEE},
address = {Hanoi, Vietnam},
doi = {10.1109/EEE-AM58328.2023.10395068},
isbn = {979-8-3503-8106-1}
}
O. Werth, S. Ferenz, A. Nieße, R. German, L. Huelck, C. Weinhardt, and B. Vogel, "Current Insights From Task Area 1 in NFDI4Energy: Building and Serving the Energy Research Community" Proceedings of the Conference on Research Data Infrastructure, vol. 1.
2023.
doi: 10.52825/cordi.v1i.350
@article{ title = {Current {{Insights From Task Area}} 1 in {{NFDI4Energy}}: {{Building}} and {{Serving}} the {{Energy Research Community}}},
author = {Werth, Oliver and Ferenz, Stephan and Nie{\ss}e, Astrid and German, Reinhard and Huelck, Ludwig and Weinhardt, Christof and Vogel, Berthold},
year = 2023, journal = {Proceedings of the Conference on Research Data Infrastructure},
volume = {1},
issn = {2941-296X},
doi = {10.52825/cordi.v1i.350},
abstract = {Energy system research has become increasingly reliant on modeling and simulation approaches. These endeavors are enabled by continuously improving tools and methods for developing, maintaining and sharing models and data. Knowledge of how to better conduct, share and archive one's research has become increasingly complex and hard to manage for individual researchers or single research groups. Identifying and including relevant scientists from energy research, social sciences, and further disciplines is sometimes difficult. Furthermore, a plethora of best practices and guidelines exist on how to prepare data, models and results in ways that make them easier to discover, verify and build upon. To present a sustainable, problem-solving, technical solution for the energy research community, NFDI4Energy develops in Task Area 1 (TA1) two services of the NFDI4Energy platform. Consequentially, the intention of this abstract within the disciplinary track ``Engineering'' is to provide an overview of the development process with a special focus on Competence and Best Practices. In addition, it discusses interconnections with other Task Areas as well as the chances and challenges that are associated with those connections. The academic audience, e.g., from the Information Systems and (Software) Engineering domain at CoRDI 2023, can observe and discuss our proposed procedure with other community members. Furthermore, we expect interested individuals to compare the proposed procedures with their own, which can lead to meaningful discussions and knowledge-sharing situations within the Engineering domain.},
langid = {english},
keywords = {FAIR principles,open data,requirements engineering}
}
A. Wein, J. Reinkensmeier, A. Weidlich, J. Lilliestam, V. Hagenmeyer, M. Richter, S. Auer, A. Nieße, and S. Lehnhoff, "FAIR Data for Energy System Research: An Overview of NFDI4Energy Task Area 4" Proceedings of the Conference on Research Data Infrastructure, vol. 1.
2023.
doi: 10.52825/cordi.v1i.364
@article{ title = {{{FAIR Data}} for {{Energy System Research}}: {{An Overview}} of {{NFDI4Energy Task Area}} 4},
author = {Wein, Amanda and Reinkensmeier, Jan and Weidlich, Anke and Lilliestam, Johan and Hagenmeyer, Veit and Richter, Mascha and Auer, S{\"o}ren and Nie{\ss}e, Astrid and Lehnhoff, Sebastian},
year = 2023, journal = {Proceedings of the Conference on Research Data Infrastructure},
volume = {1},
issn = {2941-296X},
doi = {10.52825/cordi.v1i.364},
abstract = {The NFDI4Energy consortium aims to establish new services filling a variety of needs for the energy system research community, from making FAIR research data easily accessible to promoting collaboration among community entities. Seven Task Areas (TAs) have been defined to achieve the consortium's objectives, each with a specific focus. Task Area 4 (TA4): FAIR Data for Energy System Research shall develop ontologies, metadata standards, and services to promote semantic consistency and improve interoperability of energy research projects, thereby supporting the harmonization of data management among various institutions and research fields.},
langid = {english},
keywords = {Data Infrastructure,Energy System Research,FAIR data,Metadata,Ontologies}
}
S. Ferenz and A. Nieße, "Towards Improved Findability of Energy Research Software by Introducing a Metadata-based Registry" ing.grid, vol. 1, iss. 2.
2023.
doi: 10.48694/inggrid.3837
@article{ title = {Towards {{Improved Findability}} of {{Energy Research Software}} by {{Introducing}} a {{Metadata-based Registry}}},
author = {Ferenz, Stephan and Nie{\ss}e, Astrid},
year = 2023, journal = {ing.grid},
volume = {1},
number = {2},
publisher = {Universit\"ats- und Landesbibliothek Darmstadt},
issn = {2941-1300},
doi = {10.48694/inggrid.3837},
abstract = {Research software in the energy domain becomes increasingly important for the analysis, simulation, and optimization of energy systems and supports design decisions in the required transition of energy systems to tackle the climate crisis. To make energy research software (ERS) more findable, it should be described with metadata following the FAIR (findable, accessible, interoperable, and reusable) principles and be registered in a common registry. To this end, we motivate and present a concept for a metadata-based registry for ERS which should enable researchers to easily add new ERS as well as to find new ERS.},
langid = {english},
file = {/home/rschrage/Zotero/storage/48MSFEAX/Ferenz und Nieße - 2023 - Towards Improved Findability of Energy Research Software by Introducing a Metadata-based Registry.pdf}
}
J. Sager and A. Nieße, "Towards Verification in Distributed Multi-Agent Energy Systems."
2022.
doi: 10.5281/zenodo.7299101
@article{ title = {Towards {{Verification}} in {{Distributed Multi-Agent Energy Systems}}},
author = {Sager, Jens and Nie{\ss}e, Astrid},
year = 2022, doi = {10.5281/zenodo.7299101},
abstract = {Distributed Energy Resources play an ever increasing role as the existing centralized energy system is transformed to use more decentralized renewable energy sources. Multi-agent systems are an intuitive paradigm for modeling and control of this type of system. Since the energy system is safety-critical infrastructure it is necessary to ensure its reliability. Formal verification is one way to achieve this. In this poster we motivate possible approaches to the verification problem for MAS as well as their application to energy systems. We outline key challenges that such an approach must address.},
langid = {english}
}
O. Werth, S. Ferenz, and A. Nieße, "Requirements for an Open Digital Platform for Interdisciplinary Energy Research and Practice" in Proc. Wirtschaftsinformatik 2022 Proceedings, 2022.
@inproceedings{ title = {Requirements for an {{Open Digital Platform}} for {{Interdisciplinary Energy Research}} and {{Practice}}},
booktitle = {Wirtschaftsinformatik 2022 {{Proceedings}}},
author = {Werth, Oliver and Ferenz, Stephan and Nie{\ss}e, Astrid},
year = 2022, keywords = {No DOI found},
file = {/home/rschrage/Zotero/storage/2NPP8A4P/Werth et al. - Requirements for an Open Digital Platform for Interdisciplinary Energy Research and Practice.pdf;/home/rschrage/Zotero/storage/5UENG8D7/2.html;/home/rschrage/Zotero/storage/PPR2326F/2.html}
}
J. Bozionek, T. Wolgast, and A. Nieße, "Design and Evaluation of a Multi-Level Reactive Power Market" Energy Informatics, vol. 5, iss. 1.
2022.
doi: 10.1186/s42162-022-00191-x
@article{ title = {Design and Evaluation of a Multi-Level Reactive Power Market},
author = {Bozionek, Jan and Wolgast, Thomas and Nie{\ss}e, Astrid},
year = 2022, journal = {Energy Informatics},
volume = {5},
number = {1},
doi = {10.1186/s42162-022-00191-x}
}
S. Ferenz, Towards More Findable Energy Research Software by Introducing a Metadata-based Registry.
2022.
doi: 10.1186/s42162-022-00215-6
@incollection{ title = {Towards {{More Findable Energy Research Software}} by {{Introducing}} a {{Metadata-based Registry}}},
booktitle = {Abstracts of the 11th {{DACH}}+ {{Conference}} on {{Energy Informatics}}},
author = {Ferenz, Stephan},
editor = {Anke Weidlich, Gunther Gust {and} Mirko Sch{\"a}fer},
year = 2022, doi = {10.1186/s42162-022-00215-6},
abstract = {Research software in the energy domain becomes increasingly important to analyze, simulate and optimize energy systems and, therefore, supports the required transition of energy systems as important part to tackle the climate crisis. To make energy research software more findable, it should be described with metadata following the FAIR (findable, accessible, interoperable and reusable) criteria and be registered in a common registry. Within the doctoral research project, a metadata schema to describe energy research software and an according registry will be developed. With these artifacts, the software gets easier to find and, thus, its reuse is supported.}
}
R. Schrage, P. H. Tiemann, and A. Nieße, "A Multi-Criteria Metaheuristic Algorithm for Distributed Optimization of Electric Energy Storage" SIGEnergy Energy Informatics Review, vol. 2, iss. 4.
2022.
doi: 10.1145/3584024.3584029
@article{ title = {A {{Multi-Criteria Metaheuristic Algorithm}} for {{Distributed Optimization}} of {{Electric Energy Storage}}},
author = {Schrage, Rico and Tiemann, Paul Hendrik and Nie{\ss}e, Astrid},
year = 2022, journal = {SIGEnergy Energy Informatics Review},
volume = {2},
number = {4},
pages = {44--59},
publisher = {ACM},
doi = {10.1145/3584024.3584029}
}
P. H. Tiemann, M. Nebel-Wenner, S. Holly, E. Frost, A. Jimenez Martinez, and A. Nieße, "Operational Flexibility for Multi-Purpose Usage of Pooled Battery Storage Systems" Energy Informatics, vol. 5, iss. S1.
2022.
doi: 10.1186/s42162-022-00209-4
@article{ title = {Operational Flexibility for Multi-Purpose Usage of Pooled Battery Storage Systems},
author = {Tiemann, Paul Hendrik and {Nebel-Wenner},
Marvin and Holly, Stefanie and Frost, Emilie and Jimenez Martinez, Adrian and Nie{\ss}e, Astrid},
year = 2022, journal = {Energy Informatics},
volume = {5},
number = {S1},
doi = {10.1186/s42162-022-00209-4},
abstract = {Energy Informatics, https://doi.org/10.1186/s42162-022-00209-4},
keywords = {Battery storage system,BESS pooling,Conflict detection,Multi-purpose,Operational flexibility}
}
J. Brandt, E. Frost, S. Ferenz, P. H. Tiemann, A. Bensmann, R. Hanke-Rauschenbach, and A. Nieße, "Choosing the Right Model for Unified Flexibility Modeling" Energy Informatics, vol. 5, iss. 1.
2022.
doi: 10.1186/s42162-022-00192-w
@article{ title = {Choosing the Right Model for Unified Flexibility Modeling},
author = {Brandt, Jonathan and Frost, Emilie and Ferenz, Stephan and Tiemann, Paul Hendrik and Bensmann, Astrid and {Hanke-Rauschenbach},
Richard and Nie{\ss}e, Astrid},
year = 2022, journal = {Energy Informatics},
volume = {5},
number = {1},
doi = {10.1186/s42162-022-00192-w},
abstract = {Energy Informatics, https://doi.org/10.1186/s42162-022-00192-w},
keywords = {Distributed energy systems,Evaluation of flexibility modeling approaches,Flexibility modeling,Unified flexibility representation},
file = {/home/rschrage/Zotero/storage/YYRJXG7S/Brandt et al. - 2022 - Choosing the right model for unified flexibility modeling.pdf;/home/rschrage/Zotero/storage/5DHQHATJ/s42162-022-00192-w.html}
}
S. Ferenz, A. Ofenloch, F. Penaherrera Vaca, H. Wagner, O. Werth, M. H. Breitner, B. Engel, S. Lehnhoff, and A. Nieße, "An Open Digital Platform to Support Interdisciplinary Energy Research and Practice---Conceptualization" Energies, vol. 15, iss. 17, p. 6417.
2022.
doi: 10.3390/en15176417
@article{ title = {An {{Open Digital Platform}} to {{Support Interdisciplinary Energy Research}} and {{Practice}}---{{Conceptualization}}},
author = {Ferenz, Stephan and Ofenloch, Annika and Penaherrera Vaca, Fernando and Wagner, Henrik and Werth, Oliver and Breitner, Michael H. and Engel, Bernd and Lehnhoff, Sebastian and Nie{\ss}e, Astrid},
year = 2022, journal = {Energies},
volume = {15},
number = {17},
pages = {6417},
publisher = {Multidisciplinary Digital Publishing Institute},
doi = {10.3390/en15176417},
urldate = {2022-09-02},
abstract = {Energy research itself is changing due to digitalization and the trend to open science. While this change enables new research, it also increases the amount of, and need for, available data and models. Therefore, a platform for open digital energy research and development is required to support researchers and practitioners with their new needs and to enable FAIR (findable, accessible, interoperable and reusable) research data management in energy research. We present a functional and technological concept for such a platform based on six elements: Competence to enable researchers and practitioners to find suitable partners for their projects, Methods to give an overview on the diverse possible research methods within energy research, Repository to support finding data and models for simulation of energy systems, Simulation to couple these models and data to create user-defined simulation scenarios, Transparency to publish results and other content relevant for the different stakeholder in energy research, and Core to interconnect all elements and to offer a unified entry point. We discuss the envisioned use of the outlined platform with use cases addressing three relevant stakeholder groups.},
langid = {english},
keywords = {digital platform,energy research,research data management},
file = {/home/rschrage/Zotero/storage/RZ8BLAN6/Ferenz et al. - 2022 - An Open Digital Platform to Support Interdisciplinary Energy Research and Practice—Conceptualization.pdf;/home/rschrage/Zotero/storage/WYBEXSEE/6417.html}
}
P. H. Divshali, K. Mäki, C. Evens, C. Papadimitriou, V. Efthymiou, S. Holly, A. Nieße, M. Marinelli, T. Gabderakhmanova, J. Meléndez, H. Herraiz, R. Rodríguez-Sánchez, A. Morch, L. Giménez de Urtasun, and G. Fernández, "Battery Storage Demonstration Projects: An Overview Across Europe" 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe).
2021.
@article{ title = {Battery {{Storage Demonstration Projects}}: {{An Overview Across Europe}}},
author = {Divshali, Poria Hasanpor and M{\"a}ki, Kari and Evens, Corentin and Papadimitriou, Christina and Efthymiou, Venizelos and Holly, Stefanie and Nie{\ss}e, Astrid and Marinelli, Mattia and Gabderakhmanova, Tatiana and Mel{\'e}ndez, Joaquim and Herraiz, Herraiz and {Rodr{\'i}guez-S{\'a}nchez},
Ra{\'u}l and Morch, Andrei and {Gim{\'e}nez de Urtasun},
Laura and Fern{\'a}ndez, Gregorio},
year = 2021, journal = {2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)},
abstract = {This paper summarises results and experiences from several demonstration projects across European countries in the field of battery energy storage system (BESS) integration to the power system. These research projects are selected among research institutes and universities that are part of the European Energy Research Alliance (EERA) Joint Program on Smart Grids. The paper categorizes these projects according to the demonstrated applications of BESS and then reviews specific aspects of each project. This paper provides an opportunity to find out the summary of the most recent results as well as challenges and open research questions in projects focusing on different BESS application in the power system.}
}
P. H. Tiemann, "Balancing Grid Islands with Distributed Energy Resources" in Proc. Abstracts of the 10th DACH+ Conference on Energy Informatics, 2021.
doi: 10.1186/s42162-021-00184-2
@inproceedings{ title = {Balancing Grid Islands with Distributed Energy Resources},
booktitle = {Abstracts of the 10th {{DACH}}+ {{Conference}} on {{Energy Informatics}}},
author = {Tiemann, Paul Hendrik},
year = 2021, doi = {10.1186/s42162-021-00184-2}
}
S. Holly and A. Nieße, "Distributed Fitness Landscape Analysis for Cooperative Search with Domain Decomposition" in Proc. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021.
doi: 10.1109/ssci50451.2021.9660041
@inproceedings{ title = {Distributed Fitness Landscape Analysis for Cooperative Search with Domain Decomposition},
booktitle = {2021 {{IEEE Symposium Series}} on {{Computational Intelligence}} ({{SSCI}})},
author = {Holly, Stefanie and Nie{\ss}e, Astrid},
year = 2021, publisher = {IEEE},
doi = {10.1109/ssci50451.2021.9660041}
}
T. Wolgast, E. M. Veith, and A. Nieße, "Towards Reinforcement Learning for Vulnerability Analysis in Power-Economic Systems" Energy Informatics, vol. 4, iss. S3.
2021.
doi: 10.1186/s42162-021-00181-5
@article{ title = {Towards Reinforcement Learning for Vulnerability Analysis in Power-Economic Systems},
author = {Wolgast, Thomas and Veith, Eric MSP and Nie{\ss}e, Astrid},
year = 2021, journal = {Energy Informatics},
volume = {4},
number = {S3},
doi = {10.1186/s42162-021-00181-5}
}
A. Pehlken, P. Eschemann, H. Garmatter, F. Cyris, and A. Nieße, Einsatz von Künstlicher Intelligenz in Der Digitalisierung von Abfallverbrennungskraftwerken.
2021.
doi: 10.18420/informatik2021-011
@incollection{ title = {Einsatz von {{K\"unstlicher Intelligenz}} in Der {{Digitalisierung}} von {{Abfallverbrennungskraftwerken}}},
booktitle = {{{INFORMATIK}} 2021},
author = {Pehlken, Alexandra and Eschemann, Patrick and Garmatter, Henriette and Cyris, Fabian and Nie{\ss}e, Astrid},
year = 2021, pages = {147--156},
doi = {10.18420/informatik2021-011},
abstract = {Die thermische Verwertung von Abf\"allen in Abfallverbrennungskraftwerke gestaltet sich als komplexe Aufgabe, da das vorrangige Ziel die Abfallbehandlung vor dem Ziel der Energiegewinnung steht. Insbesondere die Heterogenit\"at des aus verschiedenen Abf\"allen bestehenden Brennstoffes stellt vielseitige Anforderungen an den Betrieb. Zur Optimierung der Betriebsf\"uhrung von Dampferzeugern in Abfallverbrennungskraftwerken auf Basis der Maximierung des Durchsatzes, der Optimierung der Strom- und W\"armeproduktion sowie der Maximierung der Standzeit der Kraftwerkskomponenten unter Ber\"ucksichtigung der Emissionsgrenzwerte werden die im Kraftwerk erhobenen Messdaten eingesetzt sowie Bilddaten erhoben. Diese werden aufbereitet und vortrainierten neuronalen Netzen zugef\"uhrt, mit dem Ziel verschiedene Materialien zu klassifizieren, um Informationen \"uber die Abfallzusammensetzung und dem Heizwert zu erhalten.}
}
S. Buchholz, P. H. Tiemann, T. Wolgast, A. Scheunert, J. Gerlach, N. Majumdar, M. Breitner, L. Hofmann, A. Nieße, and H. Weyer, "A Sketch of Unwanted Gaming Strategies in Flexibility Provision for the Energy System" in Proc. Energy Informatics and Electro Mobility ICT, Duisburg-Essen, 2021.
@inproceedings{ title = {A {{Sketch}} of {{Unwanted Gaming Strategies}} in {{Flexibility Provision}} for the {{Energy System}}},
booktitle = {Energy {{Informatics}} and {{Electro Mobility ICT}}},
author = {Buchholz, Sebastian and Tiemann, Paul Hendrik and Wolgast, Thomas and Scheunert, Alexandra and Gerlach, Jana and Majumdar, Neelotpal and Breitner, Michael and Hofmann, Lutz and Nie{\ss}e, Astrid and Weyer, Harmut},
year = 2021, address = {Duisburg-Essen},
abstract = {Market-based procurement of system services is underway. Flexibility markets, however, are subject to a gaming risk. Different market participants can deteriorate the grid condition by their market behavior or physical actions, to generate flexibility demands and therefore potential profits, resulting in unreliable and unstable grid operation or economic inefficiencies. Such strategies are referred to as gaming. We investigate three gaming strategies regarding congestion management, reactive power management and balancing power provision. Further, we evaluate these strategies, and discuss solution techniques.},
isbn = {978-3-8142-2400-8}
}
P. H. Tiemann and A. Nieße, "Assumptions on a Distributed and Hierarchical Market Concept for Balancing Reserve Aggregation" in Proc. Energy Informatics and Electro Mobility ICT, Duisburg-Essen, 2021.
@inproceedings{ title = {Assumptions on a {{Distributed}} and {{Hierarchical Market Concept}} for {{Balancing Reserve Aggregation}}},
booktitle = {Energy {{Informatics}} and {{Electro Mobility ICT}}},
author = {Tiemann, Paul Hendrik and Nie{\ss}e, Astrid},
year = 2021, address = {Duisburg-Essen},
abstract = {While transmission systems have to be decoupleable in case of failures, up to now, there is no comparable procedure for controlled islanding of distribution grids. In this work, a concept for a balancing reserve market design is introduced, which would enable distribution grid operators to contract flexibility in order to operate their grids independently. Assumptions are presented on which such a market could be based and elements of it are presented. Furthermore, research gaps in order to develop such market are illustrated.},
isbn = {978-3-8142-2400-8}
}
"Demo Abstract: A Platform to Assess the Trust in Power System Components, Data, and Services." 2021.
doi: 10.1186/s42162-021-00184-2
@inproceedings{ title = {Demo Abstract: {{A Platform}} to {{Assess}} the {{Trust}} in {{Power System Components}},
{{Data}},
and {{Services}}},
editor = {{Michael Brand Felipe Castro Batoul Hage Hassan Carsten Kr\"uger Torben Logemann Bj\"orn Siemers Dennis Weller Torge Wolff Sebastian Lehnhoff}},
year = 2021, series = {Energy {{Informatics}}},
publisher = {Springer Open},
doi = {10.1186/s42162-021-00184-2},
abstract = {Modern energy systems are cyber-physical energy systems (CPES) with increased reliance on information and communication technology (ICT). With the ''Smart Grid Cyber-Resilence Laboratory'', a laboratory is built up to enable and foster the research on the influence of data integrity losses on the functionality of a CPES. This paper describes a demonstration of how the situational awareness of the ICT system can contribute to reliable power system operation. Monitoring systems are deployed, and their data are fed into a big-data time-series database. The information is used to assess the trust in power system measurements and state variables. In the demonstration, the operator can keep the system stable with help of hints about a manipulation in terms of untrustworthy state variables.@COMMENTBibtex file generated on}
}
Fernando Peñaherrera V., Henrik Wagner, Sarah Fayed, Oliver Werth, Stephan Ferenz, Jana Gerlach, Tobias Lege, Annika Ofenloch, Thomas Poppinga, Catharina Siemer, Michael Breitner, Bernd Engel, Lars Kühl, Sebastian Lehnhoff, Astrid Nieß e, Johannes Rolink, Sven Rosinger, and Frank Schuldt, "Development of Scenarios for Modelling of Districts' Energy Supply and Analysis of Interdependencies between Energy and ICT" in Proc. Energy Informatics and Electro Mobility ICT, Duisburg-Essen, 2021.
@inproceedings{ title = {Development of {{Scenarios}} for {{Modelling}} of {{Districts}}' {{Energy Supply}} and {{Analysis}} of {{Interdependencies}} between {{Energy}} and {{ICT}}},
booktitle = {Energy {{Informatics}} and {{Electro Mobility ICT}}},
author = {{Fernando Pe\~naherrera V.} and {Henrik Wagner} and {Sarah Fayed} and {Oliver Werth} and {Stephan Ferenz} and {Jana Gerlach} and {Tobias Lege} and {Annika Ofenloch} and {Thomas Poppinga} and {Catharina Siemer} and {Michael Breitner} and {Bernd Engel} and {Lars K\"uhl} and {Sebastian Lehnhoff} and {Astrid Nie\ss e} and {Johannes Rolink} and {Sven Rosinger} and {Frank Schuldt}},
year = 2021, address = {Duisburg-Essen},
abstract = {Market-based procurement of system services is underway. Flexibility markets, however, are subject to a gaming risk. Different market participants can deteriorate the grid condition by their market behavior or physical actions, to generate flexibility demands and therefore potential profits, resulting in unreliable and unstable grid operation or economic inefficiencies. Such strategies are referred to as gaming. We investigate three gaming strategies regarding congestion management, reactive power management and balancing power provision. Further, we evaluate these strategies, and discuss solution techniques.},
isbn = {978-3-8142-2400-8}
}
S. Holly and A. Nieße, "Dynamic Communication Topologies for Distributed Heuristics in Energy System Optimization Algorithms" in Proc. Annals of Computer Science and Information Systems, 2021.
doi: 10.15439/2021f60
@inproceedings{ title = {Dynamic Communication Topologies for Distributed Heuristics in Energy System Optimization Algorithms},
booktitle = {Annals of {{Computer Science}} and {{Information Systems}}},
author = {Holly, Stefanie and Nie{\ss}e, Astrid},
year = 2021, publisher = {IEEE},
doi = {10.15439/2021f60},
isbn = {2300-5963}
}
F. Peñaherrera V., H. Wagner, S. Fayed, O. Werth, S. Ferenz, J. Gerlach, T. Lege, A. Ofenloch, T. Poppinga, C. Siemer, M. Breitner, B. Engel, L. Kühl, S. Lehnhoff, A. Nieße, J. Rolink, S. Rosinger, and F. Schuldt, "Development of Scenarios for Modelling of Districts' Energy Supply and Analysis of Interdependencies between Energy and ICT" in Proc. Energy Informatics and Electro Mobility ICT, Duisburg-Essen, 2021, p. 10.
@inproceedings{ title = {Development of {{Scenarios}} for {{Modelling}} of {{Districts}}' {{Energy Supply}} and {{Analysis}} of {{Interdependencies}} between {{Energy}} and {{ICT}}},
booktitle = {Energy {{Informatics}} and {{Electro Mobility ICT}}},
author = {Pe{\~n}aherrera V., Fernando and Wagner, Henrik and Fayed, Sarah and Werth, Oliver and Ferenz, Stephan and Gerlach, Jana and Lege, Tobias and Ofenloch, Annika and Poppinga, Thomas and Siemer, Catharina and Breitner, Michael and Engel, Bernd and K{\"u}hl, Lars and Lehnhoff, Sebastian and Nie{\ss}e, Astrid and Rolink, Johannes and Rosinger, Sven and Schuldt, Frank},
year = 2021, pages = {10},
address = {Duisburg-Essen},
abstract = {The increasing digital transformation in energy supply systems allows greater control and possibilities for performance optimization and efficiency. This is accompanied by increasing complexity of the system, and thus requires the evaluation of interactions between energy and information and communication technologies (ICT) involved. One of the goals of the project ``Zukunftslabor Energie'' (Future Laboratory ``Digitalization Energy'') is to analyze these interactions in highly integrated digitalized systems for district energy supply. For this, simulation studies must be conducted to configure flexibilities. A first step is to define appropriate analysis scenarios. Requirements for these scenarios, the related models, and one of the considered scenarios are described in this paper. This allows to discuss the system, its boundaries, its components, and their interactions. Future research requires an analysis and discussion of requirement specifications, data collection and treatment, model construction, model implementation, and model validation.@COMMENTBibtex file generated on},
isbn = {978-3-8142-2400-8}
}
S. Holly and A. Nieße, "On the Effects of Communication Topologies on the Performance of Distributed Optimization Heuristics in Smart Grids" in Proc. INFORMATIK 2020, 2021.
doi: 10.18420/inf2020_69
@inproceedings{ title = {On the Effects of Communication Topologies on the Performance of Distributed Optimization Heuristics in Smart Grids},
booktitle = {{{INFORMATIK}} 2020},
author = {Holly, Stefanie and Nie{\ss}e, Astrid},
year = 2021, pages = {783--794},
publisher = {Gesellschaft f\"ur Informatik, Bonn},
doi = {10.18420/inf2020_69},
abstract = {Distributed heuristics have shown promising results in handling difficult optimization and coordination tasks in smart grids, which often have to deal with large numbers of components, distributed information and real time constraints. Some of these heuristics are distributed on an algorithmic level. This means that the way information is exchanged between the distributed units can effect the efficiency of the algorithm, in terms of computational effort, message volume, and convergence speed. It may even impact the effectiveness, i.e. the solution quality. The performance of control systems is of utmost importance for stable and optimal operation of critical infrastructure in smart grids. Therefore, factors influencing the effectiveness and efficiency, like the communication topology, must be thoroughly investigated in order to both initially configure them optimally and react appropriately to undesired behavior at runtime. The impact of the communication topology is studied with an experimental setup, using COHDA as an example heuristic. Systematic experiments are performed with various topologies and varying numbers of agents to illustrate the importance of a solid and maybe even dynamic choice of the communication topology for distributed heuristics in smart grid applications.@COMMENTBibtex file generated on}
}
T. Wolgast, E. M. Veith, and A. Nieße, "Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets" in Proc. Proceedings of the Twelfth ACM International Conference on Future Energy Systems, Virtual Event Italy, 2021.
doi: 10.1145/3447555.3466575
@inproceedings{ title = {Towards {{Reinforcement Learning}} for {{Vulnerability Detection}} in {{Power Systems}} and {{Markets}}},
booktitle = {Proceedings of the {{Twelfth ACM International Conference}} on {{Future Energy Systems}}},
author = {Wolgast, Thomas and Veith, Eric MSP and Nie{\ss}e, Astrid},
year = 2021, pages = {292--293},
publisher = {ACM},
address = {Virtual Event Italy},
doi = {10.1145/3447555.3466575},
isbn = {978-1-4503-8333-2}
}
J. Wussow, L. Kahl, M. R. Lotz, M. Hoffmann, V. Beutel, S. Buchholz, J. Gerlach, N. Majumdar, A. Narayan, A. Scheunert, P. Teimourzadeh-Baboli, P. H. Tiemann, O. Werth, S. Geissendörfer, T. Leveringhaus, K. Maydell, B. Engel, M. Kurrat, C. Agert, M. H. Breitner, L. Hofmann, M. Könemund, D. Babazadeh, S. Lehnhoff, A. Nieße, H. Weyer, and N. Huxoll, SiNED-Ancillary Services for Reliable Power Grids in Times of Progressive German Energiewende and Digital TransformationBerlin: VDE VERLAG.
2021.
@incollection{ title = {{{SiNED-Ancillary Services}} for {{Reliable Power Grids}} in {{Times}} of {{Progressive German Energiewende}} and {{Digital Transformation}}},
booktitle = {{{ETG-Fb}}. 163: {{ETG-Kongress}} 2021. {{Das Gesamtsystem}} Im {{Fokus}} Der {{Energiewende}} 18. - 19. {{Mai}} 2021, {{Online-Veranstaltung}}},
author = {Wussow, Jonas and Kahl, Lily and Lotz, Marc Ren{\'e} and Hoffmann, Melanie and Beutel, Vanessa and Buchholz, Sebastian and Gerlach, Jana and Majumdar, Neelotpal and Narayan, Anand and Scheunert, Alexandra and {Teimourzadeh-Baboli},
Payam and Tiemann, Paul Hendrik and Werth, Oliver and Geissend{\"o}rfer, Stefan and Leveringhaus, Thomas and Maydell, Karsten and Engel, Bernd and Kurrat, Michael and Agert, Carsten and Breitner, Michael H. and Hofmann, Lutz and K{\"o}nemund, Martin and Babazadeh, Davood and Lehnhoff, Sebastian and Nie{\ss}e, Astrid and Weyer, Harmut and Huxoll, Nils},
year = 2021, series = {{{ETG-Fachberichte}}},
edition = {1. Neuerscheinung},
pages = {148--153},
publisher = {VDE VERLAG},
address = {Berlin},
abstract = {Within SiNED research project, several members of the Energy Research Centre of Lower Saxony (Energieforschungszentrum Niedersachsen, EFZN) are working on various issues relating to the future provision of ancillary services and to future congestion management. The questions include energy technology, economic and energy law aspects as well as information and communications technology (ICT) and data. The investigations are based on Lower Saxony and the framework conditions there. The temporal focus of the investigations is the year 2030.},
isbn = {978-3-8007-5549-3}
}
F. Oest, M. Radtke, M. Blank-Babazadeh, S. Holly, and S. Lehnhoff, "Evaluation of Communication Infrastructures for Distributed Optimization of Virtual Power Plant Schedules" Energies, vol. 14, iss. 5, p. 1226.
2021.
doi: 10.3390/en14051226
@article{ title = {Evaluation of {{Communication Infrastructures}} for {{Distributed Optimization}} of {{Virtual Power Plant Schedules}}},
author = {Oest, Frauke and Radtke, Malin and {Blank-Babazadeh},
Marita and Holly, Stefanie and Lehnhoff, Sebastian},
year = 2021, journal = {Energies},
volume = {14},
number = {5},
pages = {1226},
publisher = {Multidisciplinary Digital Publishing Institute},
doi = {10.3390/en14051226},
urldate = {2021-02-24},
abstract = {With the transition towards renewable energy resources, the impact of small distributed generators (DGs) increases, leading to the need to actively stabilize distribution grids. DGs may be organized in virtual power plants (VPPs), where DGs' schedules must be coordinated to enable the VPP to act as a single plant. One approach to solving this problem is using multi-agent systems (MAS) to offer autonomous, robust, and flexible control methods. The coordination of such systems requires communication between agents. The time required for this depends on communication characteristics, determined by the underlying communication infrastructure. In this paper, we investigate communication influences for the wireless technologies CDMA450 and LTE Advanced on the fully distributed optimization heuristic COHDA, which is used to perform optimized scheduling for a VPP. The use case under consideration is the adaptation of schedules to provide flexibility for regional congestion management for delivery on a regionalized ancillary service market (rAS). We investigate the scalability of the VPP and the effects of disturbances in the communication infrastructure. The results show that the optimization duration of COHDA can be influenced by the underlying communication infrastructure and that this optimization method is applicable to a limited extent for product delivery of rASs.},
langid = {english}
}
E. M. Veith, S. Balduin, N. Wenninghoff, M. Tröschel, L. Fischer, A. Nieße, T. Wolgast, R. Sethmann, B. Fraune, and T. Woltjen, "Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence."
2020.
@article{ title = {Analyzing {{Power Grid}},
{{ICT}},
and {{Market Without Domain Knowledge Using}} {{Distributed Artificial Intelligence}}},
author = {Veith, Eric MSP and Balduin, Stephan and Wenninghoff, Nils and Tr{\"o}schel, Martin and Fischer, Lars and Nie{\ss}e, Astrid and Wolgast, Thomas and Sethmann, Richard and Fraune, Bastian and Woltjen, Torben},
year = 2020, abstract = {Modern cyber-physical systems (CPS), such as our energy infrastructure, are becoming increasingly complex: An ever-higher share of Artificial Intelligence (AI)-based technologies use the Information and Communication Technology (ICT) facet of energy systems for operation optimization, cost efficiency, and to reach CO2 goals worldwide. At the same time, markets with increased flexibility and ever shorter trade horizons enable the multi-stakeholder situation that is emerging in this setting. These systems still form critical infrastructures that need to perform with highest reliability. However, today's CPS are becoming too complex to be analyzed in the traditional monolithic approach, where each domain, e.g., power grid and ICT as well as the energy market, are considered as separate entities while ignoring dependencies and side-effects. To achieve an overall analysis, we introduce the concept for an application of distributed artificial intelligence as a self-adaptive analysis tool that is able to analyze the dependencies between domains in CPS by attacking them. It eschews pre-configured domain knowledge, instead exploring the CPS domains for emergent risk situations and exploitable loopholes in codices, with a focus on rational market actors that exploit the system while still following the market rules.}
}
E. Frost, E. M. Veith, and L. Fischer, Robust and Deterministic Scheduling of Power Grid Actors.
2020.
@incollection{ title = {Robust and {{Deterministic Scheduling}} of {{Power Grid Actors}}},
booktitle = {Proceedings of 2020 7th {{International Conference}}},
author = {Frost, Emilie and Veith, Eric MSP and Fischer, Lars},
year = 2020 }
E. Veith, N. Wenninghoff, and E. Frost, "The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems" arXiv preprint arXiv:2005.13601.
2020.
@article{ title = {The {{Adversarial Resilience Learning Architecture}} for {{AI-based Modelling}},
{{Exploration}},
and {{Operation}} of {{Complex Cyber-Physical Systems}}},
author = {Veith, Eric and Wenninghoff, Nlils and Frost, Emilie},
year = 2020, journal = {arXiv preprint arXiv:2005.13601},
eprint = {2005.13601},
archiveprefix = {arXiv}
}
T. Wolgast, "Optimal Market-Based Voltage Control Using Machine Learning Techniques" in Proc. Abstracts from the 9th DACH+ Conference on Energy Informatics, 2020.
@inproceedings{ title = {Optimal {{Market-Based Voltage Control Using Machine Learning Techniques}}},
booktitle = {Abstracts from the 9th {{DACH}}+ {{Conference}} on {{Energy Informatics}}},
author = {Wolgast, Thomas},
year = 2020, publisher = {Springer},
urldate = {2020-01-01}
}
T. Wolgast, "Real-Time Capable Optimal Power Flow With Artificial Neural Networks" in Proc. Abstracts from the 9th DACH+ Conference on Energy Informatics, 2020.
doi: 10.1186/s42162-020-00113-9
@inproceedings{ title = {Real-{{Time Capable Optimal Power Flow With Artificial Neural Networks}}},
booktitle = {Abstracts from the 9th {{DACH}}+ {{Conference}} on {{Energy Informatics}}},
author = {Wolgast, Thomas},
year = 2020, publisher = {Springer},
doi = {10.1186/s42162-020-00113-9}
}
T. Neugebauer, T. Wolgast, and A. Nieße, "Dynamic Inspection Interval Determination for Efficient Distribution Grid Asset-Management" Energies, vol. 13, iss. 15, p. 3875.
2020.
doi: 10.3390/en13153875
@article{ title = {Dynamic {{Inspection Interval Determination}} for {{Efficient Distribution Grid Asset-Management}}},
author = {Neugebauer, Thorben and Wolgast, Thomas and Nie{\ss}e, Astrid},
year = 2020, journal = {Energies},
volume = {13},
number = {15},
pages = {3875},
doi = {10.3390/en13153875}
}
P. H. Tiemann, A. Bensmann, V. Stuke, and R. Hanke-Rauschenbach, "Electrical Energy Storage for Industrial Grid Fee Reduction -- A Large Scale Analysis" Energy Conversion and Management, vol. 208, p. 112539.
2020.
doi: 10.1016/j.enconman.2020.112539
@article{ title = {Electrical Energy Storage for Industrial Grid Fee Reduction -- {{A}} Large Scale Analysis},
author = {Tiemann, Paul Hendrik and Bensmann, Astrid and Stuke, Volker and {Hanke-Rauschenbach},
Richard},
year = 2020, journal = {Energy Conversion and Management},
volume = {208},
pages = {112539},
issn = {01968904},
doi = {10.1016/j.enconman.2020.112539},
abstract = {While grid fees have a major impact on energy costs of large consumers, they can be reduced via peak shaving using electrical energy storages, like lithium ion, lead acid, or redox flow batteries. Especially in Germany, there are further options, namely making use of intensive and atypical grid usage, to reduce the regular grid fee. In the present analysis, we examined load profiles of more than 5,300 company sites and checked under which circumstances electrical energy storage can be profitably applied to reduce the grid fee in the three mentioned ways. Here, the calculation of each company specific grid fee was performed compliant to the German regulatory scheme with fixed power- and energy-dependent prices as well as considering the actual prices charged by the connected grid operators. The analysis showed, that the power price for grid usage as well as the investment costs for energy storages are most important for the profitability of general peak shaving, while the concrete shape of the load profile determines the capacity with the shortest payback period. The intensive grid usage is the most promising revenue model, if the formal requirements are met. The atypical grid usage is the second most profitable approach. In most cases, lithium ion storages were most cost-effective, compared to lead acid and redox flow batteries. A future reduction of storage investment costs will lead to an increase of profitable projects especially concerning the individual grid fees. For the general grid fee, a massive price reduction of more than 50 \% is necessary to achieve payback periods of less than five years for a noteworthy number of company sites.}
}
S. Holly, A. Nieße, M. Tröschel, L. Hammer, C. Franzius, V. Dmitriyev, J. Dorfner, E. M. Veith, C. Harnischmacher, M. Greve, K. Masuch, L. Kolbe, B. Wulff, and J. Kretz, "Flexibility Management and Provision of Balancing Services with Battery-Electric Automated Guided Vehicles in the Hamburg Container Terminal Altenwerder" Energy Informatics, vol. 3, iss. S1.
2020.
doi: 10.1186/s42162-020-00129-1
@article{ title = {Flexibility Management and Provision of Balancing Services with Battery-Electric Automated Guided Vehicles in the {{Hamburg}} Container Terminal {{Altenwerder}}},
author = {Holly, Stefanie and Nie{\ss}e, Astrid and Tr{\"o}schel, Martin and Hammer, Lasse and Franzius, Christoph and Dmitriyev, Viktor and Dorfner, Johannes and Veith, Eric MSP and Harnischmacher, Christine and Greve, Maike and Masuch, Kristin and Kolbe, Lutz and Wulff, Boris and Kretz, Julian},
year = 2020, journal = {Energy Informatics},
volume = {3},
number = {S1},
pages = {1--20},
publisher = {SpringerOpen},
doi = {10.1186/s42162-020-00129-1},
urldate = {2020-10-28},
abstract = {Unlocking and managing flexibility is an important contribution to the integration of renewable energy and an efficient and resilient operation of the power system. In this paper, we discuss how the potential of a fleet of battery-electric transportation vehicles can be used to provide frequency containment reserve. To this end, we first examine the use case in detail and then present the system designed to meet this challenge. We give an overview of the tasks and individual sub-components, consisting of (a) an artificial neural network to predict the availability of Automated Guided Vehicles (AGVs) day-ahead, (b) a heuristic approach to compute marketable flexibility, (c) a simulation to check the plausibility of flexibility schedules, (d) a multi-agent system to continuously monitor and control the AGVs and (e) the integration of fleet flexibility into a virtual power plant. We also present our approach to the economic analysis of this provision of a system-critical service in a logistical context characterised by high uncertainty and variability.},
langid = {english}
}
T. Wolgast and A. Nieße, "Towards Modular Composition of Agent-Based Voltage Control" Proceedings of 8th DACH+ Conference Energy Informatics.
2019.
@article{ title = {Towards Modular Composition of Agent-Based Voltage Control},
author = {Wolgast, Thomas and Nie{\ss}e, Astrid},
year = 2019, journal = {Proceedings of 8th DACH+ Conference Energy Informatics}
}
M. Nebel-Wenner, C. Reinhold, F. Wille, A. Nieße, and M. Sonnenschein, "Distributed Multi-Objective Scheduling of Power Consumption for Smart Buildings" in Proc. Proceedings of 8th DACH+ Conference Energy Informatics, 2019.
@inproceedings{ title = {Distributed Multi-Objective Scheduling of Power Consumption for Smart Buildings},
booktitle = {Proceedings of 8th {{DACH}}+ {{Conference Energy Informatics}}},
author = {{Nebel-Wenner},
Marvin and Reinhold, Christian and Wille, Farina and Nie{\ss}e, Astrid and Sonnenschein, Michael},
year = 2019 }
"Smart Cities, Green Technologies, and Intelligent Transport Systems: SMARTGREENS 2017, VEHITS 2017." 2019.
@inproceedings{ title = {Smart {{Cities}},
{{Green Technologies}},
and {{Intelligent Transport Systems}}: {{SMARTGREENS}} 2017, {{VEHITS}} 2017},
editor = {Donnellan, B. and Klein, C. and Helfert, M. and Gusikhin, O. and Pascoal, A.},
year = 2019, publisher = {Springer, Cham}
}
E. Veith, L. Fischer, M. Tröschel, and A. Nieße, "Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence" arXiv preprint arXiv:1908.11779.
2019.
@article{ title = {Analyzing {{Cyber-Physical Systems}} from the {{Perspective}} of {{Artificial Intelligence}}},
author = {Veith, Eric and Fischer, Lars and Tr{\"o}schel, Martin and Nie{\ss}e, Astrid},
year = 2019, journal = {arXiv preprint arXiv:1908.11779},
eprint = {1908.11779},
archiveprefix = {arXiv}
}
A. Nieße, F. Eggert, and S. Lehnhoff, "Managing Conflicting Interests in Socio-technical Energy Systems: How to Identify and Mitigate Intra-actor Interests as Risk Factors" in Proc. Proceedings of 14th International Conference Wirtschaftsinformatik (WI 2019): 14th International Conference on Wirtschaftsinformatik, February 24-27, 2019, Siegen, Germany, Siegen, 2019.
@inproceedings{ title = {Managing {{Conflicting Interests}} in {{Socio-technical Energy Systems}}: {{How}} to {{Identify}} and {{Mitigate Intra-actor Interests}} as {{Risk Factors}}},
booktitle = {Proceedings of 14th {{International Conference Wirtschaftsinformatik}} ({{WI}} 2019): 14th {{International Conference}} on {{Wirtschaftsinformatik}},
{{February}} 24-27, 2019, {{Siegen}},
{{Germany}}},
author = {Nie{\ss}e, Astrid and Eggert, Frank and Lehnhoff, Sebastian},
year = 2019, series = {Internationale {{Tagung Wirtschaftsinformatik}}},
publisher = {Universit\"at Siegen},
address = {Siegen}
}
S. Lehnhoff and A. Nieße, "Event-Driven Reorganization of Distributed Business Processes in Electrical Energy Systems" in Proc. Proceedings of 14th International Conference Wirtschaftsinformatik (WI 2019): 14th International Conference on Wirtschaftsinformatik, February 24-27, 2019, Siegen, Germany, Siegen, 2019.
@inproceedings{ title = {Event-Driven {{Reorganization}} of {{Distributed Business Processes}} in {{Electrical Energy Systems}}},
booktitle = {Proceedings of 14th {{International Conference Wirtschaftsinformatik}} ({{WI}} 2019): 14th {{International Conference}} on {{Wirtschaftsinformatik}},
{{February}} 24-27, 2019, {{Siegen}},
{{Germany}}},
author = {Lehnhoff, Sebastian and Nie{\ss}e, Astrid},
year = 2019, series = {Internationale {{Tagung Wirtschaftsinformatik}}},
publisher = {Universit\"at Siegen},
address = {Siegen},
abstract = {Business processes, e.g. economic or operational optimization, in large power systems employs heuristics based on solving a relaxation of the original problem due to the number of actors and components involved as well as the time-criticality for finding feasible solutions. In order to cope with the large num-ber of conflicting objectives in the problem instance, multi-agent systems (MAS) are often chosen in order to find timely solutions while guaranteeing certain fair-ness aspects. However, utilizing MAS poses specific challenges achieving ob-servability and other non-functional requirements in the context of safety-critical electrical energy systems. To cope with these systemic risks, we will sketch out methods to increase observability and dynamic reorganization in the sense of reg-ulated autonomy.},
keywords = {multi-agent systems,safety-critical operation,Smart grids}
}
C. Steinbrink, M. Blank-Babazadeh, A. El-Ama, S. Holly, B. Lüers, M. Nebel-Wenner, R. Ramírez Acosta, T. Raub, J. Schwarz, S. Stark, A. Nieße, and S. Lehnhoff, "CPES Testing with Mosaik: Co-Simulation Planning, Execution and Analysis" Applied Sciences, vol. 9, iss. 5, p. 923.
2019.
doi: 10.3390/app9050923
@article{ title = {{{CPES Testing}} with Mosaik: {{Co-Simulation Planning}},
{{Execution}} and {{Analysis}}},
author = {Steinbrink, Cornelius and {Blank-Babazadeh},
Marita and {El-Ama},
Andr{\'e} and Holly, Stefanie and L{\"u}ers, Bengt and {Nebel-Wenner},
Marvin and Ram{\'i}rez Acosta, Rebeca and Raub, Thomas and Schwarz, Jan and Stark, Sanja and Nie{\ss}e, Astrid and Lehnhoff, Sebastian},
year = 2019, journal = {Applied Sciences},
volume = {9},
number = {5},
pages = {923},
doi = {10.3390/app9050923},
abstract = {The complex nature of cyber-physical energy systems (CPES) makes systematic testing of new technologies for these setups challenging. Co-simulation has been identified as an efficient and flexible test approach that allows consideration of interdisciplinary dynamic interactions. However, basic coupling of simulation models alone fails to account for many of the challenges of simulation-based multi-domain testing such as expert collaboration in test planning. This paper illustrates an extended CPES test environment based on the co-simulation framework mosaik. The environment contains capabilities for simulation planning, uncertainty quantification and the development of multi-agent systems. An application case involving virtual power plant control is used to demonstrate the platform's features. Future extensibility of the highly modular test environment is outlined.},
keywords = {Co-simulation,mosaik,multi-agent systems,simulation planning,testing,uncertainty quantification}
}
J. S. Schwarz, T. Witt, A. Nieße, J. Geldermann, S. Lehnhoff, and M. Sonnenschein, "Towards an Integrated Development and Sustainability Evaluation of Energy Scenarios Assisted by Automated Information Exchange" in Proc. Smart Cities, Green Technologies, and Intelligent Transport Systems: SMARTGREENS 2017, VEHITS 2017, 2019.
doi: 10.1007/978-3-030-02907-4\textunderscore
@inproceedings{ title = {Towards an {{Integrated Development}} and {{Sustainability Evaluation}} of {{Energy Scenarios Assisted}} by {{Automated Information Exchange}}},
booktitle = {Smart {{Cities}},
{{Green Technologies}},
and {{Intelligent Transport Systems}}: {{SMARTGREENS}} 2017, {{VEHITS}} 2017},
author = {Schwarz, Jan S{\"o}ren and Witt, Tobias and Nie{\ss}e, Astrid and Geldermann, Jutta and Lehnhoff, Sebastian and Sonnenschein, Michael},
editor = {Donnellan, B. and Klein, C. and Helfert, M. and Gusikhin, O. and Pascoal, A.},
year = 2019, volume = {921},
pages = {3--26},
publisher = {Springer, Cham},
doi = {10.1007/978-3-030-02907-4\textunderscore},
abstract = {Today, decision making in politics and businesses should aim for sustainable development, and one field of action is the transformation of energy systems. To reshape energy systems towards renewable energy resources, it has to be decided today on how to accomplish the transition. Energy scenarios are widely used to guide decision making in this context. While considerable effort has been put into developing energy scenarios, researchers have pointed out three requirements for energy scenarios that are not fulfilled satisfactorily yet: The development and evaluation of energy scenarios should (1) incorporate the concept of sustainability, (2) provide decision support in a transparent way, and (3) be replicable for other researchers. To meet these requirements, we combine different methodological approaches: story-and-simulation (SAS) scenarios, multi-criteria decision making (MCDM), information modeling, and co-simulation. We show how the combination of these methods can lead to an integrated approach for development and sustainability evaluation of energy scenarios assisted by automated information exchange. We concretize this approach with a sustainability evaluation process (SEP) model and an information model. We highlight, which artifacts are developed during the SEP and how the information model can help to automate the information exchange in this process. The objectives are to facilitate a sustainable development of the energy sector and to make the development and decision support processes of energy scenarios more transparent.},
keywords = {Co-simulation,Energy scenarios,Information model,Multi-criteria decision making (MCDM),Ontology,Scenario planning,Story-and-simulation (SAS),Sustainability evaluation}
}
A. Nieße and A. Shahbakhsh, "Analyzing Controller Conflicts in Multimodal Smart Grids - Framework Design" Energy Informatics, vol. 1, iss. S1, p. 1.
2018.
doi: 10.1186/s42162-018-0041-3
@article{ title = {Analyzing Controller Conflicts in Multimodal Smart Grids - Framework Design},
author = {Nie{\ss}e, Astrid and Shahbakhsh, Arash},
year = 2018, journal = {Energy Informatics},
volume = {1},
number = {S1},
pages = {1},
doi = {10.1186/s42162-018-0041-3},
abstract = {In future energy systems dominated by distributed energy resources, additional flexibility potential will be unlocked by interlinking the infrastructures of different energy systems. Direct and indirect coupling of different energy systems like power grids, gas and heat infrastructures leads to multimodal energy systems. Combined with an ongoing pervasion of the resulting interconnected system with information and communication technology (ICT), multimodal smart grids evolve. The pervasion of the system with autonomous controllers leads on to the development of a distributed adaptive system. From an engineering perspective, it shows the desired characteristics regarding scalability and self-stabilization. Unlike these desired aspects, other effects can emerge from the distributed and adaptive nature of this system: Autonomous controllers might counteract, thus leading to instable system states. From the perspective of distributed systems research, these controller conflicts can thus be understood as unintended effects of emergence. In this short paper, we present design decision for a framework that will be developed for the evaluation of controller conflicts in multimodal smart grids. The concept of technical emergence will be applied to deterministically simulate controller conflicts generated by autonomous controllers of interlinked infrastructures.},
keywords = {Controller conflicts,Emergence,multi-agent systems,Multimodal energy systems,Smart grids}
}
A. Nieße, N. Ihle, S. Balduin, M. Postina, M. Tröschel, and S. Lehnhoff, "Distributed Ledger Technology for Fully Automated Congestion Management" Energy Informatics, vol. 1, iss. S1, p. 69.
2018.
doi: 10.1186/s42162-018-0033-3
@article{ title = {Distributed Ledger Technology for Fully Automated Congestion Management},
author = {Nie{\ss}e, Astrid and Ihle, Norman and Balduin, Stephan and Postina, Matthias and Tr{\"o}schel, Martin and Lehnhoff, Sebastian},
year = 2018, journal = {Energy Informatics},
volume = {1},
number = {S1},
pages = {69},
doi = {10.1186/s42162-018-0033-3},
abstract = {Congestion management in distribution grids is an important task for distribution grid operators, both from a financial and a technological perspective. Whereas large generation units and large controllable loads might in general be controllable in a manual way, this is no option for small distributed generators and loads. With flexibility control in multiple owner scenarios, documentation, transparency and automation are of crucial importance. In this work, we present a fully automated congestion management approach based on a combination of distributed ledger technology and distributed algorithms in an agent-based architectural approach. We present a case study focused on the visualization of the concept and discuss the advantages and possible challenges for this approach. Whereas distributed ledger technology has been introduced for peer-to-peer energy trading within the last years, no similar approach has been presented yet for stable distribution grid management.},
keywords = {Agent-based control,Blockchain,Congestion management,Distributed energy scheduling,Distributed ledger technology}
}
St. Adolf and U. Vogel, "Efficient Simulation of Sparsely Populated Cellular Automata in the Research of Mosquito Dispersal" in Proc. Simulation in Umwelt- Und Geowissenschaften. Workshop Berlin 2017, Aachen, 2017.
@inproceedings{ title = {Efficient Simulation of Sparsely Populated {{Cellular Automata}} in the Research of Mosquito Dispersal},
booktitle = {Simulation in {{Umwelt-}} Und {{Geowissenschaften}}. {{Workshop Berlin}} 2017, {{Aachen}}},
author = {{St. Adolf} and Vogel, U.},
editor = {{Jochen Witmann}},
year = 2017, pages = {121--130}
}
J. S. Schwarz, T. Witt, A. Nieße, J. Geldermann, S. Lehnhoff, and M. Sonnenschein, "Towards an Integrated Sustainability Evaluation of Energy Scenarios with Automated Information Exchange" in Proc. Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems, 2017.
doi: 10.5220/0006302101880199
@inproceedings{ title = {Towards an {{Integrated Sustainability Evaluation}} of {{Energy Scenarios}} with {{Automated Information Exchange}}},
booktitle = {Proceedings of the 6th {{International Conference}} on {{Smart Cities}} and {{Green ICT Systems}}},
author = {Schwarz, Jan S{\"o}ren and Witt, Tobias and Nie{\ss}e, Astrid and Geldermann, Jutta and Lehnhoff, Sebastian and Sonnenschein, Michael},
year = 2017, series = {International {{Conference}} on {{Smart Cities}} and {{Green ICT Systems}}},
pages = {188--199},
publisher = {{SCITEPRESS - Science and Technology Publications}},
doi = {10.5220/0006302101880199},
isbn = {978-989-758-241-7}
}
A. Nieße and M. Tröschel, "Controlled Self-Organization in Smart Grids" in Proc. Proceedings of IEEE 6th International Symposium on Systems Engineering (ISSE), 2016.
doi: 10.1109/SysEng.2016.7753189
@inproceedings{ title = {Controlled Self-Organization in Smart Grids},
booktitle = {Proceedings of {{IEEE}} 6th {{International Symposium}} on {{Systems Engineering}} ({{ISSE}})},
author = {Nie{\ss}e, Astrid and Tr{\"o}schel, Martin},
year = 2016, series = {{{ISSE}}},
pages = {1--6},
publisher = {IEEE},
doi = {10.1109/SysEng.2016.7753189},
isbn = {978-1-5090-0793-6}
}
A. Nieße, M. Sonnenschein, C. Hinrichs, and J. Bremer, "Local Soft Constraints in Distributed Energy Scheduling" in Proc. Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, Piscataway, NJ, 2016.
doi: 10.15439/2016F76
@inproceedings{ title = {Local {{Soft Constraints}} in {{Distributed Energy Scheduling}}},
booktitle = {Proceedings of the 2016 {{Federated Conference}} on {{Computer Science}} and {{Information Systems}}},
author = {Nie{\ss}e, Astrid and Sonnenschein, Michael and Hinrichs, Christian and Bremer, J{\"o}rg},
editor = {Ganzha, Maria and Maciaszek, Leszek and Paprzycki, Marcin},
year = 2016, pages = {1517--1525},
publisher = {IEEE},
address = {Piscataway, NJ},
doi = {10.15439/2016F76},
abstract = {In this contribution we present an approach on how to include local soft constraints in the fully distributed algorithm COHDA for the task of energy units scheduling in virtual power plants (VPP). We show how a flexibility representation based on surrogate models is extended and trained using soft constraints like avoiding frequent cold starts of combined heat and power plants. During the task of energy scheduling, the agents representing these machines include indicators in their choice for a new operation schedule. Using an example VPP we show that our approach enables the agents to reflect local soft constraints without sacrificing the global result quality.},
isbn = {978-1-5090-0046-3}
}
A. Nieße, "Verteilte Kontinuierliche Einsatzplanung in Dynamischen Virtuellen Kraftwerken" PhD Thesis , Oldenburg, 2015.
@phdthesis{ title = {Verteilte Kontinuierliche {{Einsatzplanung}} in {{Dynamischen Virtuellen Kraftwerken}}},
author = {Nie{\ss}e, Astrid},
year = 2015, address = {Oldenburg},
abstract = {Distributed coordination approaches are often examined for applicability within control systems when either the control task gets much more complex or new functionality is required that cannot be implemented as an extension of the existing system. The ongoing decarbonization of the electrical energy system leads to such a need of new functionality: The flexibility of the huge amount of distributed energy units and loads can only be accessed for services in the power system using new IT-based concepts. Dynamic Virtual Power Plants (DVPP) aggregate the flexibility of these units and address current energy markets. As an extension of the Virtual Power Plant concept they show much more dynamics in both aggregation of energy units and energy unit operation. For these tasks, distributed algorithms and self-organizing concepts are applied within DVPP. Whereas operation schedules are set up for all energy units within DVPP in a day-ahead planning procedure, incidents may render these schedules infeasible during execution, like deviation from prognoses, outages or ancillary service provision. As these incidents are typical for the addressed type of energy units, a continuous energy scheduling process is needed to ensure product fulfillment. In the work at hand, DynaSCOPE is presented as an approach for the task of continuous energy scheduling within DVPP. To develop DynaSCOPE, the schedul- ing task is considered as a distributed constraint optimization problem. Software agents representing single energy units solve the scheduling problem in a completely distributed heuristic approach. Using a stepped concept, several damping mechanisms are applied to allow minimum disturbance while continuously trying to fulfill the product as contracted at the market. The development of DynaSCOPE has been embedded in a first iteration of Smart Grid Algorithm Engineering (SGAE) as a process model for the design and implementation of distributed algorithms in Smart Grid applications.},
school = {BIS der Universit\"at Oldenburg},
keywords = {Ablaufsteuerung,Agent,Constraint-Erfullung,Dezentrale Energieversorgung,Energietechnische Anlage,Intelligentes Stromnetz,kontinuierliche Einsatzplanung,Kraftwerkseinsatz,Mehragentensystem,Steuerungssystem,Verteilte Algorithmen,Verteilter Algorithmus,Virtuelle Kraftwerke,Virtuelles Kraftwerk,Vorgehensmodell}
}
A. Nieße and M. Sonnenschein, "A Fully Distributed Continuous Planning Approach for Decentralized Energy Units" in Proc. Informatik 2015 : Tagung Vom 28. September - 02. Oktober 2015 in Cottbus, Bonn, 2015.
@inproceedings{ title = {A Fully Distributed Continuous Planning Approach for Decentralized Energy Units},
booktitle = {Informatik 2015 : {{Tagung}} Vom 28. {{September}} - 02. {{Oktober}} 2015 in {{Cottbus}}},
author = {Nie{\ss}e, Astrid and Sonnenschein, Michael},
year = 2015, pages = {151--165},
publisher = {Ges. f\"ur Informatik},
address = {Bonn},
isbn = {978-3-88579-640-4}
}
M. Blank-Babazadeh, T. Breithaupt, J. Bremer, A. Dammasch, S. Garske, T. Klingenberg, S. Koch, O. Lünsdorf, A. Nieße, S. Scherfke, L. Hofmann, and M. Sonnenschein, "Work Group: Scenario Design for Sub-Projects 1-4" in Proc. Smart Nord - Final Report, Hannover, 2015.
@inproceedings{ title = {Work {{Group}}: {{Scenario Design}} for {{Sub-Projects}} 1-4},
booktitle = {Smart {{Nord}} - {{Final Report}}},
author = {{Blank-Babazadeh},
Marita and Breithaupt, Timo and Bremer, J{\"o}rg and Dammasch, Arne and Garske, Steffen and Klingenberg, Thole and Koch, Stefanie and L{\"u}nsdorf, Ontje and Nie{\ss}e, Astrid and Scherfke, Stefan and Hofmann, Lutz and Sonnenschein, Michael},
editor = {Hofmann, Lutz and Sonnenschein, Michael},
year = 2015, pages = {19--30},
address = {Hannover},
isbn = {978-3-00-048757-6}
}
M. Blank-Babazadeh, M. Gandor, A. Nieße, S. Scherfke, S. Lehnhoff, and M. Sonnenschein, "Regionally-Specific Scenarios for Smart Grid Simulations" in Proc. Proceedings of IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG), 2015.
doi: 10.1109/PowerEng.2015.7266328
@inproceedings{ title = {Regionally-Specific Scenarios for Smart Grid Simulations},
booktitle = {Proceedings of {{IEEE}} 5th {{International Conference}} on {{Power Engineering}},
{{Energy}} and {{Electrical Drives}} ({{POWERENG}})},
author = {{Blank-Babazadeh},
Marita and Gandor, Malin and Nie{\ss}e, Astrid and Scherfke, Stefan and Lehnhoff, Sebastian and Sonnenschein, Michael},
year = 2015, series = {{{POWERENG}}},
pages = {250--256},
publisher = {IEEE},
doi = {10.1109/PowerEng.2015.7266328},
isbn = {978-1-4673-7203-9}
}
M. Sonnenschein, C. Hinrichs, A. Nieße, and U. Vogel, "Supporting Renewable Power Supply Through Distributed Coordination of Energy Resources" in Proc. ICT Innovations for Sustainability, Cham, 2015.
doi: 10.1007/978-3-319-09228-7\textunderscore
@inproceedings{ title = {Supporting {{Renewable Power Supply Through Distributed Coordination}} of {{Energy Resources}}},
booktitle = {{{ICT Innovations}} for {{Sustainability}}},
author = {Sonnenschein, Michael and Hinrichs, Christian and Nie{\ss}e, Astrid and Vogel, Ute},
editor = {Hilty, Lorenz M. and Aebischer, Bernard},
year = 2015, series = {Advances in {{Intelligent Systems}} and {{Computing}}},
volume = {310},
pages = {387--404},
publisher = {Springer International Publishing},
address = {Cham},
doi = {10.1007/978-3-319-09228-7\textunderscore},
abstract = {Renewable Energy Sources (RES) are considered a solution for a sustainable power supply. But integrating these decentralized power sources into the current power grid designed for a centralized power supply is a challenging task. We suggest distributed, agent-based and self-organized control algorithms for distributed units in a ``Smart Grid'' as a promising but challenging solution. Dynamical Virtual Power Plants (DVPP) are introduced as a first prototype of distributed controlled components of a Smart Grid. Tools and methods for a comprehensive evaluation of such new Smart Grid control methods in terms of technological indicators as well as sustainability indicators will be the next challenge in research and development for computer scientists in this domain.},
isbn = {978-3-319-09227-0},
keywords = {Distributed control,multi-agent systems,Renewable energy,Virtual power plants}
}
A. Nieße, S. Lehnhoff, M. Tröschel, and M. Sonnenschein, "Dynamic Virtual Power Plants in Future Energy Grids: Defining the Gap to the Field" in Proc. Proceedings of VDE-Kongress 2014 - Smart Cities - Intelligente Lösungen Für Das Leben in Der Zukunft, 2014.
@inproceedings{ title = {Dynamic {{Virtual Power Plants}} in {{Future Energy Grids}}: {{Defining}} the {{Gap}} to the {{Field}}},
booktitle = {Proceedings of {{VDE-Kongress}} 2014 - {{Smart Cities}} - {{Intelligente L\"osungen}} F\"ur Das {{Leben}} in Der {{Zukunft}}},
author = {Nie{\ss}e, Astrid and Lehnhoff, Sebastian and Tr{\"o}schel, Martin and Sonnenschein, Michael},
year = 2014, series = {{{VDE-Kongress}}},
publisher = {VDE-Verlag}
}
U. Vogel, R. Lühken, and E. Kiel, A Tool for Simulating the Spread of Invasive Mosquitoes.Oldenburg: BIS-Verlag.
2014.
@incollection{ title = {A {{Tool}} for {{Simulating}} the {{Spread}} of {{Invasive Mosquitoes}}.},
booktitle = {{{EnviroInfo}} 2014 - 28th {{International Conference}} on {{Informatics}} for {{Environmental Protection}}},
author = {Vogel, U. and L{\"u}hken, R. and Kiel, E.},
editor = {Marx G{\'o}mez, J. and Sonnenschein, M. and Vogel, U. and Winter, A. and Rapp, B. and Giesen, N.},
year = 2014, publisher = {BIS-Verlag},
address = {Oldenburg},
isbn = {978-3-8142-2317-9}
}
A. Nieße, S. Beer, J. Bremer, C. Hinrichs, O. Lünsdorf, and M. Sonnenschein, "Conjoint Dynamic Aggregation and Scheduling Methods for Dynamic Virtual Power Plants" in Proc. Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014.
doi: 10.15439/2014f76
@inproceedings{ title = {Conjoint {{Dynamic Aggregation}} and {{Scheduling Methods}} for {{Dynamic Virtual Power Plants}}},
booktitle = {Proceedings of the 2014 {{Federated Conference}} on {{Computer Science}} and {{Information Systems}}},
author = {Nie{\ss}e, Astrid and Beer, Sebastian and Bremer, J{\"o}rg and Hinrichs, Christian and L{\"u}nsdorf, Ontje and Sonnenschein, Michael},
year = 2014, series = {Annals of {{Computer Science}} and {{Information Systems}}},
pages = {1505--1514},
publisher = {IEEE},
doi = {10.15439/2014f76}
}
A. Nieße, M. Tröschel, and M. Sonnenschein, "Designing Dependable and Sustainable Smart Grids: How to Apply Algorithm Engineering to Distributed Control in Power Systems" in Proc. Thematic Issue on Modelling and Evaluating the Sustainability of Smart Solutions, 2014.
@inproceedings{ title = {Designing Dependable and Sustainable {{Smart Grids}}: {{How}} to Apply {{Algorithm Engineering}} to Distributed Control in Power Systems},
booktitle = {Thematic Issue on {{Modelling}} and Evaluating the Sustainability of Smart Solutions},
author = {Nie{\ss}e, Astrid and Tr{\"o}schel, Martin and Sonnenschein, Michael},
editor = {Hilty, Lorenz M. and Aebischer, Bernard and Rizzoli, Andrea E.},
year = 2014, pages = {37--51},
abstract = {In this work, we present the Smart Grid Algorithm Engineering (SGAE) process model for application-oriented research and development in information and communication technology (ICT) for power systems. The SGAE process model is motivated by the main objective of contributing application-oriented research results for distributed control concepts on a sound methodological background. With this process model, we strive for an engineering aspiration within the domain of Smart Grids. The process model is set up with an initial conceptualisation phase followed by an iterable cycle of five phases with both analytical and experimental parts, giving detailed information on inputs and results for each phase and identifying the needed actors for each phase. Simulation of large-scale Smart Grid scenarios is a core component of SGAE. We therefore elaborate on tooling and techniques needed in that context and illustrate the whole process model using an application example from a finished research and development project.},
isbn = {1364-8152},
keywords = {Distributed algorithms,Information technology,Process model,Scenario design,smart grid,Smart grid simulation}
}
M. Blank-Babazadeh, T. Breithaupt, A. Dammasch, S. Garske, and A. Nieße, "Technischer Bericht Evaluationsszenarien Smart Nord."
2013.
@article{ title = {Technischer {{Bericht Evaluationsszenarien Smart Nord}}},
author = {{Blank-Babazadeh},
Marita and Breithaupt, Timo and Dammasch, Arne and Garske, Steffen and Nie{\ss}e, Astrid},
year = 2013 }
C. Wissing, M. Tröschel, and A. Nieße, "Market-Based Redispatch in Distribution Grids - Incentivizing Flexible Behavior of Distributed Energy Resources" in Proc. Proceedings of 8th International Renewable Energy Storage Conference and Exhibition, 2013.
@inproceedings{ title = {Market-Based Redispatch in Distribution Grids - Incentivizing Flexible Behavior of Distributed Energy Resources},
booktitle = {Proceedings of 8th {{International Renewable Energy Storage Conference}} and {{Exhibition}}},
author = {Wissing, Carsten and Tr{\"o}schel, Martin and Nie{\ss}e, Astrid},
year = 2013, series = {{{IRES}}}
}
A. Nieße and M. Sonnenschein, "Using Grid Related Cluster Schedule Resemblance for Energy Rescheduling" in Proc. Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems, 09.05.2013 - 10.05.2013, 2013.
doi: 10.5220/0004374000220031
@inproceedings{ title = {Using {{Grid Related Cluster Schedule Resemblance}} for {{Energy Rescheduling}}},
booktitle = {Proceedings of the 2nd {{International Conference}} on {{Smart Grids}} and {{Green IT Systems}},
09.05.2013 - 10.05.2013},
author = {Nie{\ss}e, Astrid and Sonnenschein, Michael},
year = 2013, series = {International {{Conference}} on {{Smart Grids}} and {{Green IT Systems}}},
pages = {22--31},
publisher = {{SciTePress - Science and and Technology Publications}},
doi = {10.5220/0004374000220031},
isbn = {978-989-8565-55-6}
}
S. Schütte, A. Nieße, S. Rohjans, and H. Rohlfs, "OPC UA Compliant Coupling of Multi-Agent Systems and Smart Grid Simulations" in Proc. Proceedings of IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013.
doi: 10.1109/iecon.2013.6700395
@inproceedings{ title = {{{OPC UA Compliant Coupling}} of {{Multi-Agent Systems}} and {{Smart Grid Simulations}}},
booktitle = {Proceedings of {{IECON}} 2013 - 39th {{Annual Conference}} of the {{IEEE Industrial Electronics Society}}},
author = {Sch{\"u}tte, Steffen and Nie{\ss}e, Astrid and Rohjans, Sebastian and Rohlfs, Henning},
year = 2013, series = {Annual {{Conference}} of the {{IEEE Industrial Electronics Society}}},
pages = {7576--7581},
publisher = {IEEE},
doi = {10.1109/iecon.2013.6700395},
isbn = {978-1-4799-0224-8}
}
A. Beck, C. Derksen, S. Lehnhoff, T. Linnenberg, A. Nieße, and G. Rohbogner, "Energiesysteme Und Das Paradigma Des Agenten" in Proc. Agentensysteme in Der Automatisierungstechnik, Berlin, Heidelberg, 2013.
doi: 10.1007/978-3-642-31768-2\textunderscore
@inproceedings{ title = {Energiesysteme Und Das {{Paradigma}} Des {{Agenten}}},
booktitle = {Agentensysteme in Der {{Automatisierungstechnik}}},
author = {Beck, Andreas and Derksen, Christian and Lehnhoff, Sebastian and Linnenberg, Tobias and Nie{\ss}e, Astrid and Rohbogner, Gregor},
editor = {G{\"o}hner, Peter},
year = 2013, series = {Xpert.Press},
volume = {89},
pages = {21--42},
publisher = {Springer Berlin Heidelberg},
address = {Berlin, Heidelberg},
doi = {10.1007/978-3-642-31768-2\textunderscore},
abstract = {Das Paradigma des Agenten findet zunehmend Anwendung in hochdynamischen und komplexen Bereichen, welche koordinierte oder koordinierende Prozesse erfordern. In diesem Beitrag werden neue Anforderungen an die Systeme der Energieversorgung und des Netzbetriebes vorgestellt und diskutiert, inwieweit das Agenten-Paradigma diesen gerecht werden kann.},
isbn = {978-3-642-31767-5}
}
M. Sonnenschein, H. Appelrath, L. Hofmann, M. Kurrat, S. Lehnhoff, C. Mayer, A. Mertens, M. Uslar, A. Nieße, and M. Tröschel, "Dezentrale Und Selbstorganisierte Koordination in Smart Grids" in Proc. Proceedings of VDE-Kongress, 2012.
@inproceedings{ title = {Dezentrale Und Selbstorganisierte {{Koordination}} in {{Smart Grids}}},
booktitle = {Proceedings of {{VDE-Kongress}}},
author = {Sonnenschein, Michael and Appelrath, Hans-J{\"u}rgen and Hofmann, Lutz and Kurrat, M. and Lehnhoff, Sebastian and Mayer, Christoph and Mertens, A. and Uslar, Mathias and Nie{\ss}e, Astrid and Tr{\"o}schel, Martin},
year = 2012 }
A. Nieße, S. Lehnhoff, M. Tröschel, M. Uslar, C. Wissing, H. Appelrath, and M. Sonnenschein, "Market-Based Self-Organized Provision of Active Power and Ancillary Services: An Agent-Based Approach for Smart Distribution Grids" in Proc. Proceedings of Complexity in Engineering, 11.06.2012-13.06.2012, 2012.
doi: 10.1109/CompEng.2012.6242953
@inproceedings{ title = {Market-Based Self-Organized Provision of Active Power and Ancillary Services: {{An}} Agent-Based Approach for {{Smart Distribution Grids}}},
booktitle = {Proceedings of {{Complexity}} in {{Engineering}},
11.06.2012-13.06.2012},
author = {Nie{\ss}e, Astrid and Lehnhoff, Sebastian and Tr{\"o}schel, Martin and Uslar, Mathias and Wissing, Carsten and Appelrath, Hans-J{\"u}rgen and Sonnenschein, Michael},
year = 2012, series = {{{COMPENG}}},
pages = {1--5},
publisher = {IEEE},
doi = {10.1109/CompEng.2012.6242953},
isbn = {978-1-4673-1615-6}
}
S. Rohjans, M. Uslar, M. Specht, A. Nieße, and M. Tröschel, "Towards Semantic Service Integration for Automation in Smart Grids" in Proc. International Journal of Distributed Energy Resources, 2005-2012, Kassel, 2012.
@inproceedings{ title = {Towards {{Semantic Service Integration}} for {{Automation}} in {{Smart Grids}}},
booktitle = {International {{Journal}} of {{Distributed Energy Resources}},
2005-2012},
author = {Rohjans, Sebastian and Uslar, Mathias and Specht, Michael and Nie{\ss}e, Astrid and Tr{\"o}schel, Martin},
year = 2012, volume = {8(2)},
pages = {116--149},
publisher = {{Technology and Science Publ}},
address = {Kassel},
isbn = {1614-7138}
}
C. Hinrichs, U. Vogel, and M. Sonnenschein, "Approaching Decentralized Demand Side Management via Self-Organizing Agents." in Proc. 2nd International Workshop on Agent Technologies for Energy Systems (ATES 2011. 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), May, 2-6, 2011, Taipei, Taiwan, 2011.
@inproceedings{ title = {Approaching {{Decentralized Demand Side Management}} via {{Self-Organizing Agents}}.},
booktitle = {2nd {{International Workshop}} on {{Agent Technologies}} for {{Energy Systems}} ({{ATES}} 2011. 10th {{Int}}. {{Conf}}. on {{Autonomous Agents}} and {{Multiagent Systems}} ({{AAMAS}} 2011), {{May}},
2-6, 2011, {{Taipei}},
{{Taiwan}}},
author = {Hinrichs, C. and Vogel, U. and Sonnenschein, M.},
editor = {{A. Rogers} and {K. Decker} and {K. Kok}},
year = 2011 }
"Innovations in Sharing Environmental Observation and Information." 2011.
@inproceedings{ title = {Innovations in Sharing Environmental Observation and Information},
editor = {Pillmann, Werner and Schade, S. and Smits, Paul},
year = 2011, publisher = {Shaker},
isbn = {978-3-8440-0451-9}
}
J. Vornberger, M. Tröschel, A. Nieße, and H. Appelrath, "Optimized Charging Management for Electric Vehicles" in Proc. Proceedings of 1st International 100% Renewable Energy Conference and Exhibition, 2011.
@inproceedings{ title = {Optimized {{Charging Management}} for {{Electric Vehicles}}},
booktitle = {Proceedings of 1st {{International}} 100\% {{Renewable Energy Conference}} and {{Exhibition}}},
author = {Vornberger, Jan and Tr{\"o}schel, Martin and Nie{\ss}e, Astrid and Appelrath, Hans-J{\"u}rgen},
year = 2011, series = {{{IRENEC}}}
}
M. Tröschel, A. Nieße, and H. Appelrath, "Simulation von Erzeugungskonzepten Und Netzstrukturen" in Proc. Abschlusssymposium Des Forschungsverbundes Energie Niedersachsen (FEN), 2011.
@inproceedings{ title = {Simulation von {{Erzeugungskonzepten}} Und {{Netzstrukturen}}},
booktitle = {Abschlusssymposium Des {{Forschungsverbundes Energie Niedersachsen}} ({{FEN}})},
author = {Tr{\"o}schel, Martin and Nie{\ss}e, Astrid and Appelrath, Hans-J{\"u}rgen},
year = 2011, series = {{{FEN}}}
}
M. Tröschel, S. Scherfke, S. Schütte, A. Nieße, and M. Sonnenschein, "Using Electric Vehicle Charging Strategies to Maximize PV-Integration in the Low Voltage Grid" in Proc. Proceedings of 6th International Renewable Energy Storage Conference and Exhibition, 2011.
@inproceedings{ title = {Using {{Electric Vehicle Charging Strategies}} to {{Maximize PV-Integration}} in the {{Low Voltage Grid}}},
booktitle = {Proceedings of 6th {{International Renewable Energy Storage Conference}} and {{Exhibition}}},
author = {Tr{\"o}schel, Martin and Scherfke, Stefan and Sch{\"u}tte, Steffen and Nie{\ss}e, Astrid and Sonnenschein, Michael},
year = 2011, series = {{{IRES}}}
}
M. Sonnenschein and U. Vogel, "Naturinspirierte Verfahren Für Eine Nachhaltige Stromversorgung" in Proc. Modellierung Und Simulation von Ökosystemen - Workshop Kölpinsee 2011., 2011.
@inproceedings{ title = {Naturinspirierte {{Verfahren}} F\"ur Eine Nachhaltige {{Stromversorgung}}},
booktitle = {Modellierung Und {{Simulation}} von {{\"Okosystemen}} - {{Workshop K\"olpinsee}} 2011.},
author = {Sonnenschein, M. and Vogel, U.},
editor = {{A. Gnauck}},
year = 2011, publisher = {Shaker},
isbn = {978-3-8440-0929-3}
}
J. Agater, H. Arjangui, M. Gandor, M. Mengelkamp, H. Schröder, J. Siemer, M. Strudthoff, B. Wagner, U. Vogel, . C. Hinrichs, and St. Scherfke, "eCarUs - a Tool for Optimal Placement of Stations for Electric Vehicle Batteries" in Proc. Innovations in Sharing Environmental Observation and Information. Proceedings of the 25th EnviroInfo International Conference, October 5-7, 2011, Ispra, Italy, Aachen, 2011.
@inproceedings{ title = {{{eCarUs}} - a Tool for Optimal Placement of Stations for Electric Vehicle Batteries},
booktitle = {Innovations in Sharing Environmental Observation and Information. {{Proceedings}} of the 25th {{EnviroInfo International Conference}},
{{October}} 5-7, 2011, {{Ispra}},
{{Italy}}},
author = {Agater, J. and Arjangui, H. and Gandor, M. and Mengelkamp, M. and Schr{\"o}der, H. and Siemer, J. and Strudthoff, M. and Wagner, B. and Vogel, U. and Hinrichs, {\relax Ch}. and {St. Scherfke}},
editor = {Pillmann, Werner and Schade, S. and Smits, Paul},
year = 2011, publisher = {Shaker},
address = {Aachen},
isbn = {978-3-8440-0451-9}
}
A. Bukvic-Schäfer, T. Bülo, T. Degner, M. Landau, C. Mayer, A. Nieße, F. Schlögl, K. Staschus, M. Tröschel, and T. Weidelt, "Communication and Control of Electric Vehicles - A Market Overview in the Frame of the Initiative ELAN 2020" in Proc. Proceedings of 2nd European Conference on Smart Grids and Mobility, 2010.
@inproceedings{ title = {Communication and {{Control}} of {{Electric Vehicles}} - {{A Market Overview}} in the {{Frame}} of the {{Initiative ELAN}} 2020},
booktitle = {Proceedings of 2nd {{European Conference}} on {{Smart Grids}} and {{Mobility}}},
author = {{Bukvic-Sch{\"a}fer},
Aleksandra and B{\"u}lo, Thorsten and Degner, Thomas and Landau, Markus and Mayer, Christoph and Nie{\ss}e, Astrid and Schl{\"o}gl, F. and Staschus, Konstantin and Tr{\"o}schel, Martin and Weidelt, Tobias},
year = 2010, series = {European {{Conference}} on {{Smart Grids}} and {{Mobility}}}
}
A. Nieße, O. Lünsdorf, C. Mayer, S. Scherfke, S. Schütte, M. Tröschel, C. Wissing, and M. Sonnenschein, "Integrative Energy Management in the Distribution Grid" in Proc. Proceedings of 4th International Conference on Integration of Renewable and Distributed Energy Resources, 2010.
@inproceedings{ title = {Integrative {{Energy Management}} in the {{Distribution Grid}}},
booktitle = {Proceedings of 4th {{International Conference}} on {{Integration}} of {{Renewable}} and {{Distributed Energy Resources}}},
author = {Nie{\ss}e, Astrid and L{\"u}nsdorf, Ontje and Mayer, Christoph and Scherfke, Stefan and Sch{\"u}tte, Steffen and Tr{\"o}schel, Martin and Wissing, Carsten and Sonnenschein, Michael},
year = 2010, series = {International {{Conference}} on {{Integration}} of {{Renewable}} and {{Distributed Energy Resources}}}
}
S. Scherfke, S. Schütte, M. Tröschel, A. Nieße, and C. Wissing, "Simulationsbasierte Untersuchungen Zur Integration von Elektrofahrzeugen in Das Stromnetz" in Proc. Proceedings of VDE-Kongress - Smart Cities, 2010.
@inproceedings{ title = {Simulationsbasierte {{Untersuchungen}} Zur {{Integration}} von {{Elektrofahrzeugen}} in Das {{Stromnetz}}},
booktitle = {Proceedings of {{VDE-Kongress}} - {{Smart Cities}}},
author = {Scherfke, Stefan and Sch{\"u}tte, Steffen and Tr{\"o}schel, Martin and Nie{\ss}e, Astrid and Wissing, Carsten},
year = 2010, series = {{{VDE-Kongress}}}
}
S. Rohjans, M. Uslar, and A. Nieße, "Towards a Semantic Communication Interface between Information and Automation Layer in Smart Grids" in Proc. Proceedings of 4th International Conference on Integration of Renewable and Distributed Energy Resources, 2010.
@inproceedings{ title = {Towards a {{Semantic Communication Interface}} between {{Information}} and {{Automation Layer}} in {{Smart Grids}}},
booktitle = {Proceedings of 4th {{International Conference}} on {{Integration}} of {{Renewable}} and {{Distributed Energy Resources}}},
author = {Rohjans, Sebastian and Uslar, Mathias and Nie{\ss}e, Astrid},
year = 2010, series = {International {{Conference}} on {{Integration}} of {{Renewable}} and {{Distributed Energy Resources}}}
}
M. Sonnenschein and U. Vogel, "Basic Data Structures, Basic Algorithms, Optimization Heuristics" in Proc. Modern Computational Science 10. Lecture Notes from the 2nd International Summer School, Oldenburg, 2010.
@inproceedings{ title = {Basic {{Data Structures}},
{{Basic Algorithms}},
{{Optimization Heuristics}}},
booktitle = {Modern {{Computational Science}} 10. {{Lecture Notes}} from the 2nd {{International Summer School}},
{{Oldenburg}}},
author = {Sonnenschein, M. and Vogel, U.},
editor = {{R. Leidl} and {K. Hartmann}},
year = 2010, pages = {13--49},
isbn = {978-3-8142-2114-1}
}
P. Beenken, C. Busemann, J. Gonzalez, J. Kamenik, C. Mayer, A. Nieße, S. Rohjans, M. Specht, M. Uslar, T. Weidelt, F. Hein, T. Schmedes, and K. Schwarz, "Untersuchung Des Normungsumfeldes Zum BMWi-Förderschwerpunkt: Studie Im Auftrag Des BMWi Berlin."
2009.
@article{ title = {Untersuchung Des {{Normungsumfeldes}} Zum {{BMWi-F\"orderschwerpunkt}}: {{Studie}} Im {{Auftrag}} Des {{BMWi Berlin}}},
author = {Beenken, Petra and Busemann, Claas and Gonzalez, Jose and Kamenik, Jens and Mayer, Christoph and Nie{\ss}e, Astrid and Rohjans, Sebastian and Specht, Michael and Uslar, Mathias and Weidelt, Tobias and Hein, Franz and Schmedes, Tanja and Schwarz, Karlheinz},
year = 2009, abstract = {Im Auftrag des BMWi erstellte OFFIS in Zusammenarbeit mit mpc Management Consulting und der SCC- Schwarz Consulting Company eine Studie zum Thema "Untersuchung des Normungsumfeldes zum BMWi-F\"orderschwerpunkt e-Energy - IKT-basiertes Energiesystem der Zukunft". (IKT= Informations- und Kommunikationstechnologie) Ziel der Studie war die Betrachtung aller Standards in der elektrischen Energieversorgung in horizontaler und vertikaler Richtung. Dabei wurden die Bereiche Marktkommunikation, Netzleittechnik und Automatisierungstechnik, Sicherheitsnormen, Digitaler Z\"ahler sowie Home Automation betrachtet und vergleichbare Frameworks analysiert.}
}
M. Tröschel, C. Wissing, and A. Nieße, "Optimierte Produktauswahl Und Adaptive Reorganisation in Dynamischen Virtuellen Kraftwerken" in Proc. Proceedings of 3rd Statusseminar Des Forschungsverbundes Energie Niedersachsen (FEN), 2009.
@inproceedings{ title = {Optimierte {{Produktauswahl}} Und Adaptive {{Reorganisation}} in Dynamischen {{Virtuellen Kraftwerken}}},
booktitle = {Proceedings of 3rd {{Statusseminar}} Des {{Forschungsverbundes Energie Niedersachsen}} ({{FEN}})},
author = {Tr{\"o}schel, Martin and Wissing, Carsten and Nie{\ss}e, Astrid},
year = 2009, series = {{{FEN}}}
}
M. Stadler, W. Krause, M. Sonnenschein, and U. Vogel, "Modelling and Evaluation of Control Schemes for Enhancing Load Shift of Electricity Demand for Cooling Devices" Environmental Modelling and Software, iss. 24.
2009.
@article{ title = {Modelling and {{Evaluation}} of {{Control Schemes}} for {{Enhancing Load Shift}} of {{Electricity Demand}} for {{Cooling Devices}}},
author = {Stadler, M. and Krause, W. and Sonnenschein, M. and Vogel, U.},
year = 2009, journal = {Environmental Modelling and Software},
number = {24},
pages = {285--295}
}
S. Beer, L. Bischofs, C. Pries, M. Uslar, A. Nieße, H. Appelrath, M. Rohr, and M. Stadler, "Die eTelligence-Referenzarchitektur: Eine Standardbasierte Architektur Für Regionale Strommärkte" in Proc. Proceedings of International ETG-Congress, 2009.
@inproceedings{ title = {Die {{eTelligence-Referenzarchitektur}}: {{Eine}} Standardbasierte {{Architektur}} F\"ur Regionale {{Stromm\"arkte}}},
booktitle = {Proceedings of {{International ETG-Congress}}},
author = {Beer, Sebastian and Bischofs, Ludger and Pries, Christine and Uslar, Mathias and Nie{\ss}e, Astrid and Appelrath, Hans-J{\"u}rgen and Rohr, Matthias and Stadler, Michael},
year = 2009, series = {Internationaler {{ETG-Kongress}}},
abstract = {Aus dem aktuellen Wandel in der Energiewirtschaft hin zu einer dezentralen Energieversorgung ergeben sich sowohl technische und konzeptuelle Herausforderungen als auch \"okonomische und \"okologische Potenziale. Im E-Energy-Projekt eTelligence wird derzeit eine Referenzarchitektur entwickelt, welche die grunds\"atzlichen Anforderungen an einen regionalen Strommarkt erfasst und auf eine abstrakte Systemarchitektur abbildet. Prozesse der Gesch\"afts- und Automatisierungsebene werden dabei vorrangig auf Basis internationaler Standards (IEC 61850, IEC 61968/61970) umgesetzt. Dieser Beitrag gibt erste Einblicke in die Struktur und Schwerpunkte der entwickelten Architektur.}
}
C. Hinrichs, U. Vogel, and M. Sonnenschein, "Modelling and Evaluation of Desynchronization Strategies for Controllable Cooling Devices" in Proc. MATHMOD Vienna 09. Proceedings, Vienna, 2009.
@inproceedings{ title = {Modelling and {{Evaluation}} of {{Desynchronization Strategies}} for {{Controllable Cooling Devices}}},
booktitle = {{{MATHMOD Vienna}} 09. {{Proceedings}}},
author = {Hinrichs, C. and Vogel, U. and Sonnenschein, M.},
editor = {Troch, Inge and Breitenecker, Felix},
year = 2009, series = {{{ARGESIM Report}}},
publisher = {ARGESIM},
address = {Vienna},
isbn = {978-3-901608-35-3}
}
U. Vogel and M. Sonnenschein, "Study Programs in Environmental Informatics at Carl von Ossietzky University of Oldenburg (Germany)" in Proc. EnviroInfo 2009. Environmental Informatics and Industrial Environmental Protection: Concepts, Methods and Tools, 23rd International Conference on Informatics for Environmental Protection - Volume 1: Conference Sessions, Volume 2: Conference Workshops and ICT-ENSURE Tracks, Aachen, 2009.
@inproceedings{ title = {Study Programs in {{Environmental Informatics}} at {{Carl}} von {{Ossietzky University}} of {{Oldenburg}} ({{Germany}})},
booktitle = {{{EnviroInfo}} 2009. {{Environmental Informatics}} and {{Industrial Environmental Protection}}: {{Concepts}},
{{Methods}} and {{Tools}},
23rd {{International Conference}} on {{Informatics}} for {{Environmental Protection}} - {{Volume}} 1: {{Conference Sessions}},
{{Volume}} 2: {{Conference Workshops}} and {{ICT-ENSURE Tracks}}},
author = {Vogel, U. and Sonnenschein, M.},
editor = {Wohlgemuth, Volker and Page, Bernd and Voigt, Kristina},
year = 2009, series = {Berichte Aus Der {{Umweltinformatik}}},
edition = {1. Auflage},
volume = {2},
pages = {79--86},
publisher = {Shaker},
address = {Aachen},
isbn = {978-3-8322-8397-1}
}
T. Weidelt, A. Nieße, H. Appelrath, M. Korte, and W. Nebel, "Design and Implementation of a Standard-Compliant CHP Control Unit" in Proc. Proceedings of 3rd International Conference on Integration of Renewable and Distributed Energy Resources, 2008.
@inproceedings{ title = {Design and {{Implementation}} of a {{Standard-Compliant CHP Control Unit}}},
booktitle = {Proceedings of 3rd {{International Conference}} on {{Integration}} of {{Renewable}} and {{Distributed Energy Resources}}},
author = {Weidelt, Tobias and Nie{\ss}e, Astrid and Appelrath, Hans-J{\"u}rgen and Korte, Mario and Nebel, Wolfgang},
year = 2008, series = {International {{Conference}} on {{Integration}} of {{Renewable}} and {{Distributed Energy Resources}}}
}
A. Nieße, M. Tröschel, and H. Appelrath, "Dynamischer Aufbau Virtueller Kraftwerke" in Proc. Proceedings of 2nd Statusseminar Des Forschungsverbundes Energie Niedersachsen (FEN), 2008.
@inproceedings{ title = {Dynamischer {{Aufbau Virtueller Kraftwerke}}},
booktitle = {Proceedings of 2nd {{Statusseminar}} Des {{Forschungsverbundes Energie Niedersachsen}} ({{FEN}})},
author = {Nie{\ss}e, Astrid and Tr{\"o}schel, Martin and Appelrath, Hans-J{\"u}rgen},
year = 2008, series = {{{FEN}}}
}
M. Korte, A. Nieße, and W. Nebel, "Entwurf, Simulation Und Einsatz Modularer Energiesteuersysteme" in Proc. Proceedings of 2nd Statusseminar Des Forschungsverbundes Energie Niedersachsen (FEN), 2008.
@inproceedings{ title = {Entwurf, {{Simulation}} Und {{Einsatz}} Modularer {{Energiesteuersysteme}}},
booktitle = {Proceedings of 2nd {{Statusseminar}} Des {{Forschungsverbundes Energie Niedersachsen}} ({{FEN}})},
author = {Korte, Mario and Nie{\ss}e, Astrid and Nebel, Wolfgang},
year = 2008, series = {{{FEN}}}
}
M. Eysholdt, U. Denecke, M. Belasus, . C. Bley, M. Eilers, M. Erlmann, . C. Hinrichs, M. Hurrelmann, J. Bremer, B. Rapp, Sonnenschein, and V. M. U. "A Tool for Modeling and Optimization of Residential Electricity Consumption" in Proc. Environmental Informatics and Industrial Ecology, Leuphana University, Lüneburg, Germany, 2008.
@inproceedings{ title = {A {{Tool}} for {{Modeling}} and {{Optimization}} of {{Residential Electricity Consumption}}},
booktitle = {Environmental Informatics and Industrial Ecology},
author = {Eysholdt, M. and Denecke, U. and Belasus, M. and Bley, {\relax Ch}. and Eilers, M. and Erlmann, M. and Hinrichs, {\relax Ch}. and Hurrelmann, M. and Bremer, J. and Rapp, B. and {Sonnenschein} and M., U., Vogel},
editor = {M{\"o}ller, Andreas},
year = 2008, pages = {319--326},
publisher = {Shaker},
address = {Leuphana University, L\"uneburg, Germany},
isbn = {978-3-8322-7313-2}
}
L. Warner and U. Vogel, "Optimization of Energy Supply Networks Using Ant Colony Optimization" in Proc. Environmental Informatics and Industrial Ecology, Leuphana University, Lüneburg, Germany, 2008.
@inproceedings{ title = {Optimization of {{Energy Supply Networks}} Using {{Ant Colony Optimization}}},
booktitle = {Environmental Informatics and Industrial Ecology},
author = {Warner, L. and Vogel, U.},
editor = {M{\"o}ller, Andreas},
year = 2008, pages = {327--334},
publisher = {Shaker},
address = {Leuphana University, L\"uneburg, Germany},
isbn = {978-3-8322-7313-2}
}
J. Bremer, B. Rapp, U. Vogel, and M. Sonnenschein, Metadata Driven Acquisition, Search and Procurement of Secondary Materials within an Internet-based Marketplace.
2007.
@incollection{ title = {Metadata {{Driven Acquisition}},
{{Search}} and {{Procurement}} of {{Secondary Materials}} within an {{Internet-based Marketplace}}},
booktitle = {Proceedings of the 8th {{World Congress}} on {{Integrated Resources Management}}},
author = {Bremer, J. and Rapp, B. and Vogel, U. and Sonnenschein, M.},
year = 2007 }
"Information Technologies in Environmental Engineering." 2007.
@inproceedings{ title = {Information {{Technologies}} in {{Environmental Engineering}}},
editor = {{J. Marx Gomez} and {M. Sonnenschein} and {M. M\"uller} and {H. Welsch} and {C. Rautenstrauch}},
year = 2007, isbn = {978-3-540-71334-0}
}
U. Vogel and M. Sonnenschein, "Optimization of Adaptive Consumers to a Time-Varying Electricity Supply" in Proc. Information Technologies in Environmental Engineering. ITEE 2007, Third International ICSC Symposium, Oldenburg., 2007.
@inproceedings{ title = {Optimization of Adaptive Consumers to a Time-Varying Electricity Supply},
booktitle = {Information {{Technologies}} in {{Environmental Engineering}}. {{ITEE}} 2007, {{Third International ICSC Symposium}},
{{Oldenburg}}.},
author = {Vogel, U. and Sonnenschein, M.},
editor = {{J. Marx Gomez} and {M. Sonnenschein} and {M. M\"uller} and {H. Welsch} and {C. Rautenstrauch}},
year = 2007, pages = {119--131},
isbn = {978-3-540-71334-0}
}
M. Stadler, W. Krause, M. Sonnenschein, and U. Vogel, "The Adaptive Fridge -- Comparing Different Control Schemes for Enhancing Load Shifting of Electricity Demand" in Proc. Environmental Informatics and Systems Research. 21st Conference on Informatics for Environmental Protection - Enviroinfo Warsaw, Aachen, 2007.
@inproceedings{ title = {The {{Adaptive Fridge}} -- {{Comparing}} Different Control Schemes for Enhancing Load Shifting of Electricity Demand},
booktitle = {Environmental Informatics and Systems Research. 21st {{Conference}} on {{Informatics}} for {{Environmental Protection}} - {{Enviroinfo Warsaw}}},
author = {Stadler, M. and Krause, W. and Sonnenschein, M. and Vogel, U.},
editor = {Hryniewicz, O. and Studzinski, J. and Romaniuk, M.},
year = 2007, publisher = {Shaker},
address = {Aachen},
isbn = {978-3-8322-6397-3}
}
Vogel. U., J. Pei, and M. Sonnenschein, "Optimised Control of Adaptive Current Consumers - A First Approach" in Proc. 5th MATHMOD. Proceedings, Vienna, 2006.
@inproceedings{ title = {Optimised {{Control}} of {{Adaptive Current Consumers}} - {{A First Approach}}},
booktitle = {5th {{MATHMOD}}. {{Proceedings}}},
author = {{Vogel. U.} and Pei, J. and Sonnenschein, M.},
editor = {Troch, Inge and Breitenecker, Felix},
year = 2006, series = {{{ARGESIM Report}}},
publisher = {ARGESIM},
address = {Vienna},
isbn = {3-901608-30-3}
}
