4 citations · 7 across the 4 of their papers we have counts for
4 papers
A General Approach of Automated Environment Design for Learning the Optimal Power Flow
Thomas Wolgast, Astrid Nieße
Reinforcement learning (RL) algorithms are increasingly used to solve the optimal power flow (OPF) problem. Yet, the question of how to design RL environments to maximize training…
Learning the Optimal Power Flow: Environment Design Matters
Thomas Wolgast, Astrid Nieße
To solve the optimal power flow (OPF) problem, reinforcement learning (RL) emerges as a promising new approach. However, the RL-OPF literature is strongly divided regarding the exa…
ANALYSE -- Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents
Thomas Wolgast, Nils Wenninghoff, Stephan Balduin +4
The ongoing penetration of energy systems with information and communications technology (ICT) and the introduction of new markets increase the potential for malicious or profit-dr…
Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning
Thomas Wolgast, Astrid Nieße
Energy market rules should incentivize market participants to behave in a market and grid conform way. However, they can also provide incentives for undesired and unexpected strate…