3 papers
cs.LG2021
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…
eess.SP2020
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…
eess.SY2019
Don't go chasing artificial waterfalls: Simulating cascading failures in the power grid and the impact of artificial line-limit methods on results
Jonathan Bourne, Aidan O'Sullivan, Elsa Arcaute
Research into cascading failures in power-transmission networks requires detailed data on the capacity of individual transmission lines. However, these data are often unavailable t…