12 citations · 28 across the 12 of their papers we have counts for
3 papers · 1 filter
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…
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…