67 citations · 119 across the 4 of their papers we have counts for
9 papers
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…
Adversarial Training for a Continuous Robustness Control Problem in Power Systems
Loïc Omnes, Antoine Marot, Benjamin Donnot
We propose a new adversarial training approach for injecting robustness when designing controllers for upcoming cyber-physical power systems. Previous approaches relying deeply on…
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…
Learning to run a power network challenge for training topology controllers
Antoine Marot, Benjamin Donnot, Camilo Romero +4
For power grid operations, a large body of research focuses on using generation redispatching, load shedding or demand side management flexibilities. However, a less costly and pot…
LEAP nets for power grid perturbations
Benjamin Donnot, Balthazar Donon, Isabelle Guyon +4
We propose a novel neural network embedding approach to model power transmission grids, in which high voltage lines are disconnected and reconnected with one-another from time to t…
Anticipating contingengies in power grids using fast neural net screening
Benjamin Donnot, Isabelle Guyon, Marc Schoenauer +2
We address the problem of maintaining high voltage power transmission networks in security at all time. This requires that power flowing through all lines remain below a certain no…