activity
20202025
most citedANALYSE -- Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents

4 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025

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…

cs.SE2025★ 3 cited

Ten Recommendations for Engineering Research Software in Energy Research

Stephan Ferenz, Emilie Frost, Rico Schrage +5

Energy research software (ERS) is a central cornerstone to facilitate energy research. However, ERS is developed by researchers who, in many cases, lack formal training in software…

cs.LG2024★ 1 cited

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…

cs.CR2023★ 4 cited

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…

eess.SY2023★ 2 cited

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…

cs.CR2022

Learning to Attack Powergrids with DERs

Eric MSP Veith, Nils Wenninghoff, Stephan Balduin +2

In the past years, power grids have become a valuable target for cyber-attacks. Especially the attacks on the Ukrainian power grid has sparked numerous research into possible attac…

cs.CY2020

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

Eric MSP Veith, Stephan Balduin, Nils Wenninghoff +7

Modern cyber-physical systems (CPS), such as our energy infrastructure, are becoming increasingly complex: An ever-higher share of Artificial Intelligence (AI)-based technologies u…