Thomas Wolgast, M.Sc. Scientific Researcher

M.Sc. Thomas Wolgast

Position at OFFIS

Scientific Researcher

Research and Developement Division

Energy / Power Systems Intelligence

Position at the University

Scientific Researcher

Research Focus

- Optimal Control of Power Systems
- Multi-Agent Systems
- Machine Learning / Reinforcement Learning
- Ancillary Service Markets
- Attacks on Power Systems and Flexibility Markets



of Thomas Wolgast, M.Sc.


ANALYSE--Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents

Wolgast, Thomas and Wenninghoff, Nils and Balduin, Stephan and Veith, Eric and Fraune, Bastian and Woltjen, Torben and Nieße, Astrid; SoftwareX; 04 / 2023


Design and evaluation of a multi-level reactive power market

Bozionek, Jan and Wolgast, Thomas and Nieße, Astrid; Energy Informatics; 2022

Reactive Power Markets: a Review

Wolgast, Thomas and Ferenz, Stephan and Nieße, Astrid; IEEE Access; 01 / 2022


A Sketch of Unwanted Gaming Strategies in Flexibility Provision for the Energy System

Buchholz, Sebastian and Tiemann, Paul Hendrik and Wolgast, Thomas and Scheunert, Alexandra and Gerlach, Jana and Majumdar, Neelotpal and Breitner, Michael and Hofmann, Lutz and Nieße, Astrid and Weyer, Harmut; Energy Informatics and Electro Mobility ICT; 2021

Towards reinforcement learning for vulnerability analysis in power-economic systems

Wolgast, Thomas and Veith, Eric M. S. P. and Nieße, Astrid; Energy Informatics; 2021

Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets: Poster

Wolgast, Thomas and Veith, Eric M. S. P. and Nieße, Astrid; Proceedings of the Twelfth ACM International Conference on Future Energy Systems; 2021


Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence

Veith, Eric MSP and Balduin, Stephan and Wenninghoff, Nils and Tröschel, Martin and Fischer, Lars and Nieße, Astrid and Wolgast, Thomas and Sethmann, Richard and Fraune, Bastian and Woltjen, Torben; CYBER 2020, The Fifth International Conference on Cyber-Technologies and Cyber-Systems; October / 2020

Dynamic Inspection Interval Determination for Efficient Distribution Grid Asset-Management

Neugebauer, Thorben and Wolgast, Thomas and Nieße, Astrid; Energies; 2020

Real-Time Capable Optimal Power Flow With Artificial Neural Networks

Wolgast, Thomas; Abstracts from the 9th DACH+ Conference on Energy Informatics; October / 2020


Towards modular composition of agent-based voltage control concepts

Wolgast, Thomas and Nieße, Astrid; Energy Informatics; 2019