5 citations · 9 across the 3 of their papers we have counts for
6 papers
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…
The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems
Eric MSP Veith, Nils Wenninghoff, Emilie Frost
Modern algorithms in the domain of Deep Reinforcement Learning (DRL) demonstrated remarkable successes; most widely known are those in game-based scenarios, from ATARI video games…
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…
Explainable Reinforcement Learning: A Survey
Erika Puiutta, Eric MSP Veith
Explainable Artificial Intelligence (XAI), i.e., the development of more transparent and interpretable AI models, has gained increased traction over the last few years. This is due…
Robust and Deterministic Scheduling of Power Grid Actors
Emilie Frost, Eric MSP Veith, Lars Fischer
Modern power grids need to cope with increasingly decentralized, volatile energy sources as well as new business models such as virtual power plants constituted from battery swarms…
Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence
Eric M. S. P. Veith, Lars Fischer, Martin Tröschel +1
Principles of modern cyber-physical system (CPS) analysis are based on analytical methods that depend on whether safety or liveness requirements are considered. Complexity is abstr…