12 citations · 28 across the 12 of their papers we have counts for
14 papers
On zero-shot learning in neural state estimation of power distribution systems
Aleksandr Berezin, Stephan Balduin, Thomas Oberließen +2
This paper addresses the challenge of neural state estimation in power distribution systems. We identified a research gap in the current state of the art, which lies in the inabili…
Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid
Eric MSP Veith, Torben Logemann, Aleksandr Berezin +2
Autonomous and learning systems based on Deep Reinforcement Learning have firmly established themselves as a foundation for approaches to creating resilient and efficient Cyber-Phy…
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…
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…
Sampling Strategies for Static Powergrid Models
Stephan Balduin, Eric MSP Veith, Sebastian Lehnhoff
Machine learning and computational intelligence technologies gain more and more popularity as possible solution for issues related to the power grid. One of these issues, the power…
Comparison of Random Sampling and Heuristic Optimization-Based Methods for Determining the Flexibility Potential at Vertical System Interconnections
Gerster Johannes, Marcel Sarstedt, Eric MSP Veith +2
In order to prevent conflicting or counteracting use of flexibility options, the coordination between distribution system operator and transmission system operator has to be streng…