Research

Contact

University of Oldenburg
FK II – Department for Computer Science
Digitalized Energy Systems Group
D-26111 Oldenburg

Secretary:

Meike Burke

Regina Müller

Industriestraße 11, Room 0-014

+49 (0) 441 - 798 2878

+49 (0) 441 - 798 2756

Head

Prof. Dr.-Ing. Astrid Niesse 

Industriestraße 11, Room 0-004

+49 (0) 441 - 798 2750

+49 (0) 441 - 798 2756

Research

Digitalised energy systems

Research topics of the department

The working group Digitalized Energy Systems conducts research on how digital technologies, data-driven methods and intelligent algorithms can support the transition towards sustainable, resilient and flexible energy systems. The group addresses challenges emerging from the growing integration of renewable energy sources and decentralised energy resources in future energy infrastructures. The groups' research focuses on:

  • Digital solutions for future energy systems, including advanced data analytics and intelligent algorithms to enable sustainable and resilient energy infrastructures.
  • Optimisation and AI-based coordination approaches for distributed flexibility options such as batteries, heat pumps, electric vehicles, and prosumer households, supporting smart grid operation and future energy markets.
  • Open science in energy research, with a particular emphasis on FAIR data and research software, including metadata standards, interoperable ontologies, and simulation tools to foster efficient and reproducible energy systems research. 

Scientific publications

The publications from the last five years are listed below. A complete list, including BibTex format, can be found on the Publications page.

2026

  • R. Schrage and A. Nieße, “Reusable Agent-Based Simulations of Cyber-Physical Energy Systems: Environments as First-Class Entities”, Open Conference Proceedings, Vol. 9, March 2026, doi: 10.52825/ocp.v9i.3271.
  • S. Ferenz, O. Werth, and A. Nieße, “Enabling FAIR Energy Research Software”, Open Conference Proceedings, Vol. 9, March 2026, doi: 10.52825/ocp.v9i.3279.
  • R. Schrage, E. Frost, and A. Nieße, “Self-Organised Restoration of Multi-Energy Grids via Coupling Point Coordination”, in Proceedings of the 18th International Conference on Agents and Artificial Intelligence, Marbella, Spain: SCITEPRESS - Science and Technology Publications, 2026, pp. 413–425. doi: 10.5220/0014339800004052.

2025

  • Brunekreeft, G., Nieße, A., Buchmann, M., Holly, S., Palovic, M., Pechan, A., Schulte, E., 2025. Forschungsprojekt REMARK - Resilienz im digitalisierten Stromsystem: Toolbox zur Bewertung von Systemdienstleistungsmärkten. https://doi.org/10.34657/19581
  • Clausen, C.S.B., Lehnhoff, S., Schwarz, J.S., Jørgensen, B.N., Ma, Z.G., 2025. Challenges in Transitioning from Co-simulation to Practical Application: A Case Study on Economic Emission Dispatch in a Greenhouse Compartment, in: Jørgensen, B.N., Ma, Z.G., Wijaya, F.D., Irnawan, R., Sarjiya, S. (Eds.), Energy Informatics, Lecture Notes in Computer Science. Springer Nature Switzerland, Cham, pp. 173–192. https://doi.org/10.1007/978-3-031-74738-0_12
  • Ferenz, S., Frost, E., Schrage, R., Wolgast, T., Beyers, I., Karras, O., Werth, O., Nieße, A., 2025a. Ten Recommendations for Engineering Research Software in Energy Research. Presented at the Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, ACM, Rotterdam Netherlands, pp. 446–459. https://doi.org/10.1145/3679240.3734606
  • Ferenz, S., Jafarbigloo, A., Werth, O., Nieße, A., 2025b. SMECS: A Software Metadata Extraction and Curation Software. Electronic Communications of the EASST 85. https://doi.org/10.14279/eceasst.v85.2708
  • Ferenz, S., Miller, B., Busse, C., Demandt, É., Eberl, F., Ebert, B., Fluck, J., Förstner, K.U., Goedicke, M., Hennig, C., Jagusch, G.W., Jansen, L., Keller, C., Krieger, U., Rettberg, N., Schrade, T., Seegert, J., Suchodoletz, D., Trippel, T., Weidtkamp-Peters, S., 2025c. Arbeitsplan 2025 der Taskforce Governance and Sustainability (TFGS) - Schritte zur Weiterentwicklung unserer NFDI. https://doi.org/10.5281/zenodo.15181340
  • Frost, E., Afrin, A., Nieße, A., Ardakanian, O., 2025. Robustness in Multi-Agent Energy Systems: The Trade-Off between Decentralization and Security, in: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, E-Energy ’25. Association for Computing Machinery, New York, NY, USA, pp. 994–995. https://doi.org/10.1145/3679240.3734682
  • Hasselbring, W., Druskat, S., Bernoth, J., Betker, P., Felderer, M., Ferenz, S., Hermann, B., Lamprecht, A.-L., Linxweiler, J., Prat, A., Rumpe, B., Schoening-Stierand, K., Yang, S., 2025. Multi-Dimensional Research Software Categorization. Computing in Science & Engineering 1–10. https://doi.org/10.1109/MCSE.2025.3555023
  • Heess, P., Holly, S., Körner, M.-F., Nieße, A., Radtke, M., Schick, L., Stark, S., Strüker, J., Zwede, T., 2025. A multi-agent approach with verifiable and data-sovereign information flows for decentralizing redispatch in distributed energy systems. Energy Inform 8, 24. https://doi.org/10.1186/s42162-024-00464-7
  • Radtke, M., Frost, E., 2025. Simulative Analysis of Multi-Agent Systems in Energy Systems: Impact of Communication Networks:, in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence. Presented at the 17th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, Porto, Portugal, pp. 523–530. https://doi.org/10.5220/0013241400003890
  • Radtke, M., Frost, E., Nieße, A., Lehnhoff, S., 2025. Communication Modeling Approaches in Energy System Applications: A Systematic Overview. IEEE Access 13, 80329–80339. https://doi.org/10.1109/ACCESS.2025.3566594
  • Sager, J., Wegkamp, C., Niesse, A., Engel, B., 2025. Effect of the Quantity and Penetration of Energy Resources on the Incentivization of Grid-Beneficial Behavior in Prosumer Households, in: ETG Kongress 2025; Voller Energie–Heute Und Morgen. VDE, pp. 860–865.
  • Schrage, R., Radler, J., Nieße, A., 2025. Coordination of Electrical and Heating Resources by Self-Interested Agents. https://doi.org/10.48550/arXiv.2506.16277
  • Steinert, A., Ferenz, S., Niesse, A., 2025. Choosing the Right Ontology to Describe Research Data in the Energy Domain. SIGENERGY Energy Inform. Rev. 4, 33–48. https://doi.org/10.1145/3717413.3717417
  • Stephan Ferenz, Oliver Werth, Astrid Nieße, 2025. Requirements for a Metadata Scheme to Enable FAIR Energy Research Software. ECEASST 83.
  • Tiemann, P.H., Nebel-Wenner, M., Holly, S., Frost, E., Nieße, A., 2025. Amplify: Multi-purpose flexibility model to pool battery energy storage systems. Applied Energy 381, 125063. https://doi.org/10.1016/j.apenergy.2024.125063
  • Veith, E., Wellßow, A., Logemann, T., Frost, E., 2025. Cover Me: Mitigating Multi-Agent System Failure through Reinforcement Learning—A Technology Demonstration, in: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, E-Energy ’25. Association for Computing Machinery, New York, NY, USA, pp. 612–613. https://doi.org/10.1145/3679240.3735501
  • Wolgast, T., Nieße, A., 2025. A General Approach of Automated Environment Design for Learning the Optimal Power Flow, in: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, E-Energy ’25. Association for Computing Machinery, New York, NY, USA, pp. 108–121. https://doi.org/10.1145/3679240.3734626
  • Yan, X., Helmers, L., Zhou, K., Nieße, A., 2025a. Fleet-Based Degradation State Quantification for Industrial Water Electrolyzers. Electrochemical Science Advances 5, e70002. https://doi.org/10.1002/elsa.70002
  • Yan, X., Woelke, J., Bensmann, B., Eckert, C., Hanke-Rauschenbach, R., Nieße, A., 2025b. Cross-Method Overview of Fleet-Based Machine Health Estimation and Prediction: A Practical Guide for Industrial Applications. IEEE Access 13, 60131–60147. https://doi.org/10.1109/ACCESS.2025.3556251

2024

  • Frost, Emilie; Nieße, Astrid (2024): Communication Incidents in Self-Organising Cyber-Physical Energy Systems: Assessing Robustness. In: 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). Veliko Tarnovo, Bulgaria, 20/11/2024 - 22/11/2024: IEEE, pp. 1–6.
  • Wein, Amanda; Steinert, Alexandro; Schwarz, Jan Sören; Fuentes-Grau, Laura; Pan, Zhiyu; Monti, Antonello; Nieße, Astrid (2024): Developing Interoperable Ontologies for Research Data Management in the Energy Domain. In Proceedings of the Workshop on Metadata and Research (objects) Management for Linked Open Science (4.2024, Online).
    Sager, Jens; Nieße, Astrid (2024): Combinatorial chance-constrained economic optimisation of distributed energy resources. In Energy Inform 7 (1). DOI: 10.1186/s42162-024-00430-3.
  • Schwarz, Jan Sören; Perez, Leonard Enrique Ramos; Pham, Minh Cong; Heussen, Kai; Tran, Quoc Tuan (2024): A Toolbox for Design of Experiments for Energy Systems in Co-Simulation and Hardware Tests. In: 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES). 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES). Vienna, Austria, 03/09/2024 - 04/09/2024: IEEE, pp. 1–7.
  • Stark, Sanja; Frost, Emilie; Nebel-Wenner, Marvin (2024): Distributed Multi-objective Optimisation in Cyber-Physical Energy Systems. In SIGENERGY Energy Inform. Rev. 4 (2), pp. 7–18. DOI: 10.1145/3666043.3666046.
  • Wolgast, Thomas; Nieße, Astrid (2024): Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning. In IEEE Access 12, pp. 145106–145117. DOI: 10.1109/ACCESS.2024.3472480.
  • Schrage, Rico; Sager, Jens; Hörding, Jan Philipp; Holly, Stefanie (2024): mango: A modular Python-based agent simulation framework. In SoftwareX 27, p. 101791. DOI: 10.1016/j.softx.2024.101791.
  • Kuckertz, Patrick; Göpfert, Jan; Karras, Oliver; Neuroth, David; Schönau, Julian; Pueblas, Rodrigo et al. (2024): DataDesc: A framework for creating and sharing technical metadata for research software interfaces. In Patterns, p. 101064. DOI: 10.1016/j.patter.2024.101064.
  • Sager Jens; Schrage Rico (2024): Mango.jl: A Julia-Based Multi-Agent Simulation Framework. In Journal of Open Source Software 9, p. 7098. DOI: 10.21105/joss.07098.
  • Wolgast, Thomas; Nieße, Astrid (2024): Learning the optimal power flow: Environment design matters. In Energy and AI, p. 100410. DOI: 10.1016/j.egyai.2024.100410.
  • Frost, Emilie; Heiken, Julia; Tröschel, Martin; Nieße, Astrid (2024): Detecting and Analysing Agent Communication Anomalies in Distributed Energy System Control. In: ICAART 2024, pp. 625–632.
  • Frost, Emilie; Radtke, Malin; Nebel-Wenner, Marvin; Oest, Frauke; Stark, Sanja (2024): cosima-mango: Investigating Multi-Agent System robustness through integrated communication simulation. In SoftwareX 26, p. 101667. DOI: 10.1016/j.softx.2024.101667.

2023

  • Werth, Oliver; Ferenz, Stephan; Nieße, Astrid; German, Reinhard; Huelck, Ludwig; Weinhardt, Christof; Vogel, Berthold (2023): Current Insights From Task Area 1 in NFDI4Energy: Building and Serving the Energy Research Community. In: Proceedings of the Conference on Research Data Infrastructure 1. DOI: 10.52825/cordi.v1i.350.
  • Radtke, Malin; Stucke, Christoph; Trauernicht, Malte; Montag, Carsten; Oest, Frauke; Frost, Emilie et al. (2023 - 2023): Integrating Agent-Based Control for Normal Operation in Interconnected Power and Communication Systems Simulation. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). 2023 IEEE Symposium Series on Computational Intelligence (SSCI). Mexico City, Mexico, 12/5/2023 - 12/8/2023: IEEE, pp. 228–233.
  • Ferenz, Stephan; Nieße, Astrid (2023): Towards Improved Findability of Energy Research Software by Introducing a Metadata-based Registry. Ing.grid Volume 1 Issue 2 2023. In: ing.grid 1 (2). DOI: 10.48694/inggrid.3837.
  • Schrage, Rico (2023): The Role of Coupling Points for Self-Organised Multi-Energy Grid Operation. In: Abstracts of the 12th DACH+ Conference on Energy Informatics 2023 (6), pp. 14–16.
  • Wein, Amanda; Reinkensmeier, Jan; Weidlich, Anke; Lilliestam, Johan; Hagenmeyer, Veit; Richter, Mascha et al. (2023): FAIR Data for Energy System Research: An Overview of NFDI4Energy Task Area 4. In: Proceedings of the Conference on Research Data Infrastructure 1. DOI: 10.52825/cordi.v1i.364.
  • Werth, Oliver; Ferenz, Stephan; Nieße, Astrid; German, Reinhard; Huelck, Ludwig; Weinhardt, Christof; Vogel, Berthold (2023): Current Insights From Task Area 1 in NFDI4Energy: Building and Serving the Energy Research Community. In: Proceedings of the Conference on Research Data Infrastructure 1. DOI: 10.52825/cordi.v1i.350.
  • Wolff, Torge; Nieße, Astrid (2023): Dynamic Overlapping Coalition Formation in Electricity Markets: An Extended Formal Model. In: Energies 16 (17), p. 6289. DOI: 10.3390/en16176289.
  • Wolgast, Thomas; Wenninghoff, Nils; Balduin, Stephan; Veith, Eric; Fraune, Bastian; Woltjen, Torben; Nieße, Astrid (2023): ANALYSIS — Learning to attack cyber–physical energy systems with intelligent agents. In: SoftwareX 23, p. 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), pp. 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: Appl Netw Sci 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 Optimisation of Electric Energy Storage. In: SIGEnergy Energy Informatics Review 2 (4), pp. 44–59. DOI: 10.1145/3584024.3584029.
  • Ferenz, Stephan (2022): Towards More Findable Energy Research Software by Introducing a Metadata-based Registry. Available online at zenodo.org/record/7243593.
  • Sager, Jens; Nieße, Astrid (2022): Towards Verification in Distributed Multi-Agent Energy Systems. Available online at 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 (eds.): Abstracts of the 11th DACH+ Conference on Energy Informatics. Available online at 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 modelling. 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—Conceptualisation. In: Energies 15 (17), p. 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, pp. 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. Available online at 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. In collaboration with Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof Weinhardt, Oliver Werth. 16th International Conference on Business Informatics, Pre-Conference Community Workshop. Duisburg-Essen, 8 March 2021. Available online at 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. In collaboration with Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof Weinhardt, Oliver Werth. 16th International Conference on Business Informatics, Pre-Conference Community Workshop. Duisburg-Essen, 8 March 2021. Available online at 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 optimisation 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 optimisation heuristics in smart grids. In: Computing Science 2020: Gesellschaft für Informatik, Bonn, pp. 783–794.
  • Michael Brand Felipe Castro Batoul Hage Hassan Carsten Krüger Torben Logemann Björn Siemers Dennis Weller Torge Wolff Sebastian Lehnhoff (eds.) (2021): Demo abstract: A Platform to Assess the Trust in Power System Components, Data, and Services. Albert Ludwig University of Freiburg: Springer Open (Energy Informatics).
  • Oest, Frauke; Radtke, Malin; Blank-Babazadeh, Marita; Holly, Stefanie; Lehnhoff, Sebastian (2021): Evaluation of Communication Infrastructures for Distributed Optimisation of Virtual Power Plant Schedules. In: Energies 14 (5), pp. 1226. DOI: 10.3390/en14051226.
  • Pehlken, Alexandra; Eschemann, Patrick; Garmatter, Henriette; Cyris, Fabian; Nieße, Astrid (2021): Use of artificial intelligence in the digitalisation of waste incineration plants. In: Computing Science 2021, pp. 147–156. Available online at 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, p. 10. Available online at 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. In collaboration with Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof Weinhardt, Oliver Werth. 16th International Conference on Business Informatics, Pre-Conference Community Workshop. Duisburg-Essen, 8 March 2021. Available online at 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 June 2021 – 2 July 2021. New York, NY, USA: ACM, pp. 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 Congress 2021. Focus on the overall system in the energy transition 18–19 May 2021, online event. 1st new publication. Berlin: VDE VERLAG (ETG technical reports), pp. 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. Available online at 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), pp. 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), p. 3875. DOI: 10.3390/en13153875.
  • Sager, Jens (2020): Verification of Open Stochastic Heterogeneous Systems with Stochastic Contracts. In: Organic Computing: Doctoral Dissertation Colloquium 2020, pp. 93–108.
  • Shahbakhsh, Arash; Nieße, Astrid (2020): Agent-Based Modelling in Energy Systems. Parametrisation 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, pp. 112539. DOI: 10.1016/j.enconman.2020.112539.
  • Veith, Eric; Wenninghoff, Nils; 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. Available online at arxiv.org/abs/2005.13601.
  • Veith, Eric MSP; Balduin, Stephan; Wenninghoff, Nils; Tröschel, Martin; Fischer, Lars; Nieße, Astrid et al. (2020): Analysing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence. Available online at 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. (Eds.) (2019): Smart Cities, Green Technologies, and Intelligent Transport Systems: SMARTGREENS 2017, VEHITS 2017: Springer, Cham.
  • Lehnhoff, Sebastian; Nieße, Astrid (2019): Event-driven Reorganisation of Distributed Business Processes in Electrical Energy Systems. In: Proceedings of 14th International Conference on Business Informatics (WI 2019): 14th International Conference on Business Informatics, 24–27 February 2019, Siegen, Germany. Siegen: University of Siegen (International Conference on Business Informatics).
  • 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. Available online at 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, 24–27 February 2019, Siegen, Germany. Siegen: University of Siegen (International Conference on Business Informatics). Available online at 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 and A. Pascoal (eds.): Smart Cities, Green Technologies, and Intelligent Transport Systems: SMARTGREENS 2017, VEHITS 2017, Vol. 921: Springer, Cham, pp. 3–26. Available online at link.springer.com/chapter/10.1007/978-3-030-02907-4_1.
  • Shahbakhsh, Arash; Nieße, Astrid (2019): Modelling multimodal energy systems. In: at-Automatisierungstechnik 67 (11), pp. 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), p. 923. DOI: 10.3390/app9050923.
  • Veith, Eric; Fischer, Lars; Tröschel, Martin; Nieße, Astrid (2019): Analysing 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): Analysing 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 (ed.): Simulation in Environmental and Earth Sciences. Workshop Berlin 2017, Aachen, pp. 121–130.
(Changed: 26 May 2026)  |  Kurz-URL:Shortlink: https://uol.de/p76831en
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