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ORCIDThomas Wolgast
Person information
- affiliation: Carl von Ossietzky University of Oldenburg, Department of Computing Science, Oldenburg, Germany
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2020 – today
- 2025
[i6]Stephan Ferenz, Emilie Frost, Rico Schrage, Thomas Wolgast, Inga Beyers, Oliver Karras, Oliver Werth, Astrid Nieße:
Ten Recommendations for Engineering Research Software in Energy Research. CoRR abs/2502.13510 (2025)- 2024
- [j7]Thomas Wolgast
, Astrid Nieße:
Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning. IEEE Access 12: 145106-145117 (2024) - [i5]Thomas Wolgast, Astrid Nieße:
Learning the Optimal Power Flow: Environment Design Matters. CoRR abs/2403.17831 (2024) - 2023
- [j6]Thomas Wolgast, Eric M. S. P. Veith, Astrid Nieße:
Publisher Correction: Towards reinforcement learning for vulnerability analysis in power-economic systems. Energy Inform. 6(1): 11 (2023) - [j5]Thomas Wolgast, Nils Wenninghoff, Stephan Balduin, Eric M. S. P. Veith, Bastian Fraune, Torben Woltjen, Astrid Nieße:
ANALYSE - Learning to attack cyber-physical energy systems with intelligent agents. SoftwareX 23: 101484 (2023) - [i4]Thomas Wolgast, Astrid Nieße:
Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning. CoRR abs/2303.01772 (2023) - [i3]Thomas Wolgast, Nils Wenninghoff, Stephan Balduin, Eric M. S. P. Veith, Bastian Fraune, Torben Woltjen, Astrid Nieße:
ANALYSE - Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents. CoRR abs/2305.09476 (2023) - 2022
- [j4]Thomas Wolgast, Stephan Ferenz, Astrid Nieße:
Reactive Power Markets: A Review. IEEE Access 10: 28397-28410 (2022) - [j3]Jan Bozionek, Thomas Wolgast, Astrid Nieße:
Design and evaluation of a multi-level reactive power market. Energy Inform. 5 (2022) - [i2]Eric M. S. P. Veith, Nils Wenninghoff, Stephan Balduin, Thomas Wolgast, Sebastian Lehnhoff:
Learning to Attack Powergrids with DERs. CoRR abs/2204.11352 (2022) - 2021
- [j2]Thomas Wolgast, Eric M. S. P. Veith, Astrid Nieße:
Towards reinforcement learning for vulnerability analysis in power-economic systems. Energy Inform. 4(S3) (2021) - [c1]Thomas Wolgast, Eric M. S. P. Veith, Astrid Nieße:
Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets: Poster. e-Energy 2021: 292-293 - 2020
- [i1]Eric M. S. P. Veith, Stephan Balduin, Nils Wenninghoff, Martin Tröschel, Lars Fischer, Astrid Nieße, Thomas Wolgast, Richard Sethmann, Bastian Fraune, Torben Woltjen:
Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence. CoRR abs/2006.06074 (2020)
2010 – 2019
- 2019
- [j1]Thomas Wolgast, Astrid Nieße:
Towards modular composition of agent-based voltage control concepts. Energy Inform. 2(S1) (2019)
Coauthor Index
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