5 citations · 9 across the 9 of their papers we have counts for
9 papers
Flowcean - Model Learning for Cyber-Physical Systems
Maximilian Schmidt, Swantje Plambeck, Markus Knitt +4
Effective models of Cyber-Physical Systems (CPS) are crucial for their design and operation. Constructing such models is difficult and time-consuming due to the inherent complexity…
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…
Evaluating Different Machine Learning Techniques as Surrogate for Low Voltage Grids
Stephan Balduin, Tom Westermann, Erika Puiutta
The transition of the power grid requires new technologies and methodologies, which can only be developed and tested in simulations. Especially larger simulation setups with many l…
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…
Large-Scale Co-Simulation of Power Grid and Communication Network Models with Software in the Loop
Eric MSP Veith, Jawad Kazmi, Stephan Balduin
Power grids are transitioning from an infrastructure model based on reactive electronics towards a smart grid that features complex software stacks with intelligent, pro-active and…