5 citations · 5 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…