13 citations · 19 across the 4 of their papers we have counts for
4 papers
A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks
Jochen L. Cremer, Adrian Kelly, Ricardo J. Bessa +5
Advanced control, operation, and planning tools of electrical networks with ML are not straightforward. 110 experts were surveyed to show where and how ML algorithms could advance.…
Learning to run a power network with trust
Antoine Marot, Benjamin Donnot, Karim Chaouache +4
Artificial agents are promising for real-time power network operations, particularly, to compute remedial actions for congestion management. However, due to high reliability requir…
Learning to run a Power Network Challenge: a Retrospective Analysis
Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold +7
Power networks, responsible for transporting electricity across large geographical regions, are complex infrastructures on which modern life critically depend. Variations in demand…
Reinforcement Learning for Electricity Network Operation
Adrian Kelly, Aidan O'Sullivan, Patrick de Mars +1
This paper presents the background material required for the Learning to Run Power Networks Challenge. The challenge is focused on using Reinforcement Learning to train an agent to…