Forschung

Leitung

Prof. Dr.-Ing. Astrid Niesse 

A05 2-226

+49 (0) 441 - 798 2750

+49 (0) 441 - 798 2756

Forschung

Digitalisierte Energiesysteme

Forschungsthemen der Abteilung

Im Fokus stehen die Unterstützung und Ermöglichung komplexer Energiesysteme durch intelligente Informationssysteme (IS). Diese IS werden von Energieerzeugern und -verbrauchern akzeptiert und halten Datenschutzrichtlinien ein. Diese IS ermöglichen ferner ein dezentrales, intelligentes Energiemanagement inkl. regelbasierte oder optimierte Speicherung und Umwandlung erneuerbarer Energieträger, u.a. durch Künstliche Intelligenz (KI) und Maschinelles Lernen (ML) Verfahren. Eine sichere, zuverlässige und effiziente Energieversorgung wird jederzeit sichergestellt, insbes. werden auch Herausforderungen der IT- und Informationssicherheit adressiert.

Wissenschaftliche Publikationen

Im Folgenden werden die Veröffentlichungen der letzten fünf Jahre aufgelistet. Eine vollständige Liste, inklusive BibTex-Format, ist auf der Seite Publikationen zu finden.

2023

  • Wolff, Torge; Nieße, Astrid (2023): Dynamic Overlapping Coalition Formation in Electricity Markets: An Extended Formal Model. In: Energies 16 (17), S. 6289. DOI: 10.3390/en16176289.
  • Wolgast, Thomas; Wenninghoff, Nils; Balduin, Stephan; Veith, Eric; Fraune, Bastian; Woltjen, Torben; Nieße, Astrid (2023): ANALYSE — Learning to attack cyber–physical energy systems with intelligent agents. In: SoftwareX 23, S. 101484. DOI: 10.1016/j.softx.2023.101484.
  • Oest, Frauke; Frost, Emilie; Radtke, Malin; Lehnhoff, Sebastian (2023): Coupling OMNeT++ and Mosaik for Integrated Co-Simulation of ICT-Reliant Smart Grids. In: SIGENERGY Energy Inform. Rev. 3 (1), S. 14–25. DOI: 10.1145/3607120.3607123.
  • Schrage, Rico; Nieße, Astrid (2023): Influence of adaptive coupling points on coalition formation in multi-energy systems. In: Applied Network Science 8 (1). DOI: 10.1007/s41109-023-00553-8.

2022

  • Schrage, Rico; Tiemann, Paul Hendrik; Nieße, Astrid (2022): A Multi-Criteria Metaheuristic Algorithm for Distributed Optimization of Electric Energy Storage. In: SIGEnergy Energy Informatics Review 2 (4), S. 44–59. DOI: 10.1145/3584024.3584029.
  • Ferenz, Stephan (2022): Towards More Findable Energy Research Software by Introducing a Metadata-based Registry. Online verfügbar unter zenodo.org/record/7243593.
  • Sager, Jens; Nieße, Astrid (2022): Towards Verification in Distributed Multi-Agent Energy Systems. Online verfügbar unter zenodo.org/record/7299101.
  • Ferenz, Stephan (2022): Towards More Findable Energy Research Software by Introducing a Metadata-based Registry. In: Anke Weidlich, Gunther Gust and Mirko Schäfer (Hg.): Abstracts of the 11th DACH+ Conference on Energy Informatics. Online verfügbar unter energyinformatics.springeropen.com/articles/10.1186/s42162-022-00215-6.
  • Brandt, Jonathan; Frost, Emilie; Ferenz, Stephan; Tiemann, Paul Hendrik; Bensmann, Astrid; Hanke-Rauschenbach, Richard; Nieße, Astrid (2022): Choosing the right model for unified flexibility modeling. In: Energy Inform 5 (1). DOI: 10.1186/s42162-022-00192-w.
  • Tiemann, Paul Hendrik; Nebel-Wenner, Marvin; Holly, Stefanie; Frost, Emilie; Jimenez Martinez, Adrian; Nieße, Astrid (2022): Operational flexibility for multi-purpose usage of pooled battery storage systems. In: Energy Inform 5 (S1). DOI: 10.1186/s42162-022-00209-4.
  • Ferenz, Stephan; Ofenloch, Annika; Penaherrera Vaca, Fernando; Wagner, Henrik; Werth, Oliver; Breitner, Michael H. et al. (2022): An Open Digital Platform to Support Interdisciplinary Energy Research and Practice—Conceptualization. In: Energies 15 (17), S. 6417. DOI: 10.3390/en15176417.
  • Bozionek, Jan; Wolgast, Thomas; Nieße, Astrid (2022): Design and evaluation of a multi-level reactive power market. In: Energy Inform 5 (1). DOI: 10.1186/s42162-022-00191-x.
  • Wolgast, Thomas; Ferenz, Stephan; Nieße, Astrid (2022): Reactive Power Markets: A Review. In: IEEE Access 10, S. 28397–28410. DOI: 10.1109/ACCESS.2022.3141235.
  • Werth, Oliver; Ferenz, Stephan; Nieße, Astrid (2022): Requirements for an Open Digital Platform for Interdisciplinary Energy Research and Practice. In: Wirtschaftsinformatik 2022 Proceedings. Online verfügbar unter aisel.aisnet.org/wi2022/sustainable_it/sustainable_it/2/.

2021

  • Buchholz, Sebastian; Tiemann, Paul Hendrik; Wolgast, Thomas; Scheunert, Alexandra; Gerlach, Jana; Majumdar, Neelotpal et al. (2021): A Sketch of Unwanted Gaming Strategies in Flexibility Provision for the Energy System. In: Energy Informatics and Electro Mobility ICT. Unter Mitarbeit von Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof Weinhardt, Oliver Werth. 16th International Conference on Wirtschaftsinformatik, Pre-Conference Community Workshop. Duisburg-Essen, March 8, 2021. Online verfügbar unter oops.uni-oldenburg.de/5084/1/proceedings_ow_sto_2021.pdf.
  • Divshali, Poria Hasanpor; Mäki, Kari; Evens, Corentin; Papadimitriou, Christina; Efthymiou, Venizelos; Holly, Stefanie et al. (2021): Battery Storage Demonstration Projects: An Overview Across Europe. In: 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe).
  • 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 Nieße, Johannes Rolink, Sven Rosinger, Frank Schuldt (2021): Development of Scenarios for Modelling of Districts' Energy Supply and Analysis of Interdependencies between Energy and ICT. In: Energy Informatics and Electro Mobility ICT. Unter Mitarbeit von Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof Weinhardt, Oliver Werth. 16th International Conference on Wirtschaftsinformatik, Pre-Conference Community Workshop. Duisburg-Essen, March 8, 2021. Online verfügbar unter oops.uni-oldenburg.de/5084/1/proceedings_ow_sto_2021.pdf.
  • Holly, Stefanie; Nieße, Astrid (2021): Distributed fitness landscape analysis for cooperative search with domain decomposition. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI): IEEE.
  • Holly, Stefanie; Nieße, Astrid (2021): Dynamic communication topologies for distributed heuristics in energy system optimization algorithms. In: Annals of Computer Science and Information Systems: IEEE.
  • Holly Stefanie; Nieße Astrid (2021): On the effects of communication topologies on the performance of distributed optimization heuristics in smart grids. In: INFORMATIK 2020: Gesellschaft für Informatik, Bonn, S. 783–794.
  • Michael Brand Felipe Castro Batoul Hage Hassan Carsten Krüger Torben Logemann Björn Siemers Dennis Weller Torge Wolff Sebastian Lehnhoff (Hg.) (2021): Demo abstract: A Platform to Assess the Trust in Power System Components, Data, and Services. Albert-Ludwigs-Universität Freiburg: Springer Open (Energy Informatics).
  • Oest, Frauke; Radtke, Malin; Blank-Babazadeh, Marita; Holly, Stefanie; Lehnhoff, Sebastian (2021): Evaluation of Communication Infrastructures for Distributed Optimization of Virtual Power Plant Schedules. In: Energies 14 (5), S. 1226. DOI: 10.3390/en14051226.
  • Pehlken, Alexandra; Eschemann, Patrick; Garmatter, Henriette; Cyris, Fabian; Nieße, Astrid (2021): Einsatz von Künstlicher Intelligenz in der Digitalisierung von Abfallverbrennungskraftwerken. In: INFORMATIK 2021, S. 147–156. Online verfügbar unter dl.gi.de/bitstream/handle/20.500.12116/37614/A1-11.pdf.
  • Peñaherrera V., Fernando; Wagner, Henrik; Fayed, Sarah; Werth, Oliver; Ferenz, Stephan; Gerlach, Jana et al. (2021): Development of Scenarios for Modelling of Districts’ Energy Supply and Analysis of Interdependencies between Energy and ICT. In: Energy Informatics and Electro Mobility ICT, S. 10. Online verfügbar unter oops.uni-oldenburg.de/5084/1/proceedings_ow_sto_2021.pdf.
  • Tiemann, Paul Hendrik (2021): Balancing grid islands with distributed energy resources. In: Abstracts of the 10th DACH+ Conference on Energy Informatics (4).
  • Tiemann, Paul Hendrik; Nieße, Astrid (2021): Assumptions on a Distributed and Hierarchical Market Concept for Balancing Reserve Aggregation. In: Energy Informatics and Electro Mobility ICT. Unter Mitarbeit von Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof Weinhardt, Oliver Werth. 16th International Conference on Wirtschaftsinformatik, Pre-Conference Community Workshop. Duisburg-Essen, March 8, 2021. Online verfügbar unter oops.uni-oldenburg.de/5084/1/proceedings_ow_sto_2021.pdf.
  • Wolgast, Thomas; Veith, Eric MSP; Nieße, Astrid (2021): Towards reinforcement learning for vulnerability analysis in power-economic systems. In: Energy Informatics 4 (S3). DOI: 10.1186/s42162-021-00181-5.
  • Wolgast, Thomas; Veith, Eric MSP; Nieße, Astrid (2021): Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets. In: Proceedings of the Twelfth ACM International Conference on Future Energy Systems. e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems. Virtual Event Italy, 28 06 2021 02 07 2021. New York, NY, USA: ACM, S. 292–293.
  • Wussow, Jonas; Kahl, Lily; Lotz, Marc René; Hoffmann, Melanie; Beutel, Vanessa; Buchholz, Sebastian et al. (2021): SiNED-Ancillary Services for Reliable Power Grids in Times of Progressive German Energiewende and Digital Transformation. In: ETG-Fb. 163: ETG-Kongress 2021. Das Gesamtsystem im Fokus der Energiewende 18. - 19. Mai 2021, Online-Veranstaltung. 1. Neuerscheinung. Berlin: VDE VERLAG (ETG-Fachberichte), S. 148–153.

2020

  • Frost, Emilie; Veith, Eric MSP; Fischer, Lars (2020): Robust and Deterministic Scheduling of Power Grid Actors. In: Proceedings of 2020 7th International Conference. Online verfügbar unter ieeexplore.ieee.org/abstract/document/9263948.
  • Holly, Stefanie; Nieße, Astrid; Tröschel, Martin; Hammer, Lasse; Franzius, Christoph; Dmitriyev, Viktor et al. (2020): Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder. In: Energy Informatics 3 (S1), S. 1–20. DOI: 10.1186/s42162-020-00129-1.
  • Neugebauer, Thorben; Wolgast, Thomas; Nieße, Astrid (2020): Dynamic Inspection Interval Determination for Efficient Distribution Grid Asset-Management. In: Energies 13 (15), S. 3875. DOI: 10.3390/en13153875.
  • Sager, Jens (2020): Verification of Open Stochastic Heterogeneous Systems with Stochastic Contracts. In: Organic Computing: Doctoral Dissertation Colloquium 2020, S. 93–108.
  • Shahbakhsh, Arash; Nieße, Astrid (2020): Agent Based Modeling in Energy Systems. Parametrization of Coupling Points. In: International Federation of Automatic Control.
  • Tiemann, Paul Hendrik; Bensmann, Astrid; Stuke, Volker; Hanke-Rauschenbach, Richard (2020): Electrical energy storage for industrial grid fee reduction – A large scale analysis. In: Energy Conversion and Management 208, S. 112539. DOI: 10.1016/j.enconman.2020.112539.
  • Veith, Eric; Wenninghoff, Nlils; Frost, Emilie (2020): The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems. In: arXiv preprint arXiv:2005.13601. Online verfügbar unter arxiv.org/abs/2005.13601.
  • Veith, Eric MSP; Balduin, Stephan; Wenninghoff, Nils; Tröschel, Martin; Fischer, Lars; Nieße, Astrid et al. (2020): Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence. Online verfügbar unter arxiv.org/pdf/2006.06074.
  • Wolgast, Thomas (2020): Optimal Market-Based Voltage Control Using Machine Learning Techniques. Doctoral Workshop DACH+ 2020.
  • Wolgast, Thomas (2020): Real-Time Capable Optimal Power Flow With Artificial Neural Networks. In: Abstracts from the 9th DACH+ Conference on Energy Informatics: Springer (Volume 3 Supplement 2).

2019

  • Donnellan, B.; Klein, C.; Helfert, M.; Gusikhin, O.; Pascoal, A. (Hg.) (2019): Smart Cities, Green Technologies, and Intelligent Transport Systems: SMARTGREENS 2017, VEHITS 2017: Springer, Cham.
  • Lehnhoff, Sebastian; Nieße, Astrid (2019): Event-driven Reorganization of Distributed Business Processes in Electrical Energy Systems. In: Proceedings of 14th International Conference Wirtschaftsinformatik (WI 2019): 14th International Conference on Wirtschaftsinformatik, February 24-27, 2019, Siegen, Germany. Siegen: Universität Siegen (Internationale Tagung Wirtschaftsinformatik).
  • Nebel-Wenner, Marvin; Reinhold, Christian; Wille, Farina; Nieße, Astrid; Sonnenschein, Michael (2019): Distributed multi-objective scheduling of power consumption for smart buildings. In: Proceedings of 8th DACH+ Conference Energy Informatics. Online verfügbar unter www.energy-informatics.eu.
  • Nieße, Astrid; Eggert, Frank; Lehnhoff, Sebastian (2019): Managing Conflicting Interests in Socio-technical Energy Systems: How to Identify and Mitigate Intra-actor Interests as Risk Factors. In: Proceedings of 14th International Conference Wirtschaftsinformatik (WI 2019): 14th International Conference on Wirtschaftsinformatik, February 24-27, 2019, Siegen, Germany. Siegen: Universität Siegen (Internationale Tagung Wirtschaftsinformatik). Online verfügbar unter wi2019.de.
  • Schwarz, Jan Sören; Witt, Tobias; Nieße, Astrid; Geldermann, Jutta; Lehnhoff, Sebastian; Sonnenschein, Michael (2019): Towards an Integrated Development and Sustainability Evaluation of Energy Scenarios Assisted by Automated Information Exchange. In: B. Donnellan, C. Klein, M. Helfert, O. Gusikhin und A. Pascoal (Hg.): Smart Cities, Green Technologies, and Intelligent Transport Systems: SMARTGREENS 2017, VEHITS 2017, Bd. 921: Springer, Cham, S. 3–26. Online verfügbar unter link.springer.com/chapter/10.1007/978-3-030-02907-4_1.
  • Shahbakhsh, Arash; Nieße, Astrid (2019): Modeling multimodal energy systems. In: at-Automatisierungstechnik 67 (11), S. 893–903.
  • Steinbrink, Cornelius; Blank-Babazadeh, Marita; El-Ama, André; Holly, Stefanie; Lüers, Bengt; Nebel-Wenner, Marvin et al. (2019): CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis. In: Applied Sciences 9 (5), S. 923. DOI: 10.3390/app9050923.
  • Veith, Eric; Fischer, Lars; Tröschel, Martin; Nieße, Astrid (2019): Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence. In: arXiv preprint arXiv:1908.11779.
  • Wolgast, Thomas; Nieße, Astrid (2019): Towards modular composition of agent-based voltage control. In: Proceedings of 8th DACH+ Conference Energy Informatics.

2018

  • Meuel, Holger; Ferenz, Stephan; Liu, Yiqun; Ostermann, Jorn: Rate-Distortion Theory for Affine Global Motion Compensation in Video Coding. In: 2018 25th IEEE International Conference on Image Processing(ICIP), 2018.
  • Meuel, Holger; Ferenz, Stephan; Liu, Yiqun; Ostermann, Jorn: Rate-Distortion Theory for Simplified Affine Motion Compensation Used in Video Coding. In: 2018 IEEE Visual Communications and Image Processing(VCIP), 2018.
  • Nieße, Astrid; Shahbakhsh, Arash (2018): Analyzing controller conflicts in multimodal smart grids - framework design. In: Energy Informatics, 1.
  • Nieße, Astrid; Ihle, Norman; Balduin, Stephan; Postina, Matthias; Tröschel, Martin; Lehnhoff, Sebastian (2018): Distributed ledger technology for fully automated congestion management. In: Energy Informatics, 1.

2017

  • Meuel, Holger; Ferenz, Stephan; Kluger, Florian; Ostermann, Jörn: Robust Long-Term Aerial Video Mosaicking by Weighted Feature-Based Global Motion Estimation. In: Computer Analysis of Images and Patterns, Springer International Publishing, 2017.
  • Schwarz, Jan Sören; Witt, Tobias; Nieße, Astrid; Geldermann, Jutta; Lehnhoff, Sebastian; Sonnenschein, Michael: Towards an Integrated Sustainability Evaluation of Energy Scenarios with Automated Information Exchange. In: Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems, 2017.
  • St. Adolf; Vogel, U. (2017): Efficient simulation of sparsely populated Cellular Automata in the research of mosquito dispersal. In: Jochen Witmann (Hg.): Simulation in Umwelt- und Geowissenschaften,. Workshop Berlin 2017, Aachen, S. 121–130.
(Stand: 19.01.2024)  | 
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