Thomas Wolgast, M.Sc. Wissenschaftlicher Mitarbeiter

M.Sc. Thomas Wolgast
Kontaktdaten
Tätigkeiten

Position im OFFIS

Wissenschaftlicher Mitarbeiter

Forschungsbereiche

Energie / Intelligenz in Energiesystemen

Position an der Uni

Wissenschaftlicher Mitarbeiter

Forschungsinteresse

- Optimal Control von Energiesystemen
- Multiagentensysteme
- Machine Learning / Reinforcement Learning
- Systemdienstleistungsmärkte
- Angriffe auf Energiesysteme und Flexibilitätsmärkte
News

+49 441 9722-422

thomas.wolgast(at)offis.de

https://uol.de/des/team/thomas-wolgast

E68

Publikationen
von Thomas Wolgast, M.Sc.

2022

Reactive Power Markets: a Review

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

2021

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

DOI
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

DOI

2020

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

DOI
Real-Time Capable Optimal Power Flow With Artificial Neural Networks

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

2019

Towards modular composition of agent-based voltage control concepts

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

DOI