Towards modular composition of agent-based voltage control concepts. - Thomas Wolgast; Astrid Nieße (Energy Inform., 2019)

Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence. - Eric M. S. P. Veith; Stephan Balduin; Nils Wenninghoff; Martin Tröschel; Lars Fischer; Astrid Nieße; Thomas Wolgast; Richard Sethmann; Bastian Fraune; Torben Woltjen (CoRR, 2020)

Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets: Poster. - Thomas Wolgast; Eric M. S. P. Veith; Astrid Nieße (e-Energy, 2021)

Towards reinforcement learning for vulnerability analysis in power-economic systems. - Thomas Wolgast; Eric M. S. P. Veith; Astrid Nieße (Energy Inform., 2021)

Reactive Power Markets: A Review. - Thomas Wolgast; Stephan Ferenz; Astrid Nieße (IEEE Access, 2022)

Learning to Attack Powergrids with DERs. - Eric M. S. P. Veith; Nils Wenninghoff; Stephan Balduin; Thomas Wolgast; Sebastian Lehnhoff (CoRR, 2022)

Design and evaluation of a multi-level reactive power market. - Jan Bozionek; Thomas Wolgast; Astrid Nieße (Energy Inform., 2022)

Publisher Correction: Towards reinforcement learning for vulnerability analysis in power-economic systems. - Thomas Wolgast; Eric M. S. P. Veith; Astrid Nieße (Energy Inform., 2023)

ANALYSE - Learning to attack cyber-physical energy systems with intelligent agents. - Thomas Wolgast; Nils Wenninghoff; Stephan Balduin; Eric M. S. P. Veith; Bastian Fraune; Torben Woltjen; Astrid Nieße (SoftwareX, 2023)

Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning. - Thomas Wolgast; Astrid Nieße (IEEE Access, 2024)

Learning the Optimal Power Flow: Environment Design Matters. - Thomas Wolgast; Astrid Nieße (CoRR, 2024)

Ten Recommendations for Engineering Research Software in Energy Research. - Stephan Ferenz; Emilie Frost; Rico Schrage; Thomas Wolgast; Inga Beyers; Oliver Karras; Oliver Werth; Astrid Nieße (e-Energy, 2025)

A General Approach of Automated Environment Design for Learning the Optimal Power Flow. - Thomas Wolgast; Astrid Nieße (e-Energy, 2025)