9 citations · 10 across the 3 of their papers we have counts for
3 papers · 1 filter
Towards Autonomous Railway Operations: A Semi-Hierarchical Deep Reinforcement Learning Approach to the Vehicle Rescheduling Problem
Alberto Castagna, Stefan Zahlner, Adrian Egli +4
Managing disruptions in railway traffic management is a major challenge. Rising traffic density and infrastructure limits increase complexity, making the Vehicle Routing and Schedu…
Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control
Anton R. Fuxjäger, Kristian Kozak, Matthias Dorfer +2
The ongoing transition to renewable energy is increasing the share of fluctuating power sources like wind and solar, raising power grid volatility and making grid operation increas…
Power Grid Congestion Management via Topology Optimization with AlphaZero
Matthias Dorfer, Anton R. Fuxjäger, Kristian Kozak +2
The energy sector is facing rapid changes in the transition towards clean renewable sources. However, the growing share of volatile, fluctuating renewable generation such as wind o…