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Thomas Wolgast
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Reactive power markets: A review
T Wolgast, S Ferenz, A Nieße
IEEE access 10, 28397-28410, 2022
392022
Analyzing power grid, ict, and market without domain knowledge using distributed artificial intelligence
E Veith, S Balduin, N Wenninghoff, M Tröschel, L Fischer, A Nieße, ...
arXiv preprint arXiv:2006.06074, 2020
112020
Towards reinforcement learning for vulnerability analysis in power-economic systems
T Wolgast, EMSP Veith, A Nieße
Energy Informatics 4, 1-20, 2021
102021
A sketch of unwanted gaming strategies in flexibility provision for the energy system
S Buchholz, PH Tiemann, T Wolgast, A Scheunert, J Gerlach, N Majumdar, ...
16th International Conference on Wirtschaftsinformatik, Pre-Conference …, 2021
42021
Towards modular composition of agent-based voltage control concepts
T Wolgast, A Nieße
Energy Informatics 2 (Suppl 1), 26, 2019
42019
ANALYSE — Learning to attack cyber–physical energy systems with intelligent agents
T Wolgast, N Wenninghoff, S Balduin, E Veith, B Fraune, T Woltjen, ...
SoftwareX 23, 101484, 2023
22023
ANALYSE--Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents
T Wolgast, N Wenninghoff, S Balduin, E Veith, B Fraune, T Woltjen, ...
arXiv preprint arXiv:2305.09476, 2023
22023
Approximating energy market clearing and bidding with model-based reinforcement learning
T Wolgast, A Nieße
arXiv preprint arXiv:2303.01772, 2023
22023
Design and evaluation of a multi-level reactive power market
J Bozionek, T Wolgast, A Nieße
Energy Informatics 5 (1), 6, 2022
22022
Dynamic inspection interval determination for efficient distribution grid asset-management
T Neugebauer, T Wolgast, A Nieße
Energies 13 (15), 3875, 2020
22020
Learning to Attack Powergrids with DERs
E Veith, N Wenninghoff, S Balduin, T Wolgast, S Lehnhoff
arXiv preprint arXiv:2204.11352, 2022
12022
Learning the Optimal Power Flow: Environment Design Matters
T Wolgast, A Nieße
arXiv preprint arXiv:2403.17831, 2024
2024
Publisher Correction: Towards reinforcement learning for vulnerability analysis in power-economic systems.
T Wolgast, EMSP Veith, A Nieße
Energy Inform. 6 (1), 11, 2023
2023
Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets: Poster
T Wolgast, EMSP Veith, A Nieße
Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021
2021
PALAESTRAI: A TRAINING GROUND FOR AUTONOMOUS AGENTS
EMSP Veith, S Balduin, N Wenninghoff, T Wolgast, M Baumann, ...
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