research
∙
04/24/2022
Learning to Attack Powergrids with DERs
In the past years, power grids have become a valuable target for cyber-a...
share
research
∙
04/19/2022
Sampling Strategies for Static Powergrid Models
Machine learning and computational intelligence technologies gain more a...
research
∙
06/10/2020
Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence
Modern cyber-physical systems (CPS), such as our energy infrastructure, ...
research
∙
05/27/2020
The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems
Modern algorithms in the domain of Deep Reinforcement Learning (DRL) dem...
research
∙
05/22/2020
Large-Scale Co-Simulation of Power Grid and Communication Network Models with Software in the Loop
Power grids are transitioning from an infrastructure model based on reac...
research
∙
05/13/2020
Explainable Reinforcement Learning: A Survey
Explainable Artificial Intelligence (XAI), i.e., the development of more...
research
∙
03/27/2020
Robust and Deterministic Scheduling of Power Grid Actors
Modern power grids need to cope with increasingly decentralized, volatil...
research
∙
11/15/2018