activity
20192026
most citedLearning to run a Power Network Challenge: a Retrospective Analysis

13 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2026

Decarbonising price formation: unit-level evidence on battery storage and the imbalance price in the GB Balancing Mechanism

Robert Dalton, Aidan O'Sullivan

Renewables now dominate Great Britain's generation mix but rarely occupy the marginal price-setting position, which raises the question of which flexible technologies translate a r…

cs.AI2026

Analysing drivers and interdependencies in European electricity markets using XAI

Antoine Pesenti, Aidan O'Sullivan

Electricity markets are inherently complex systems characterised by strong nonlinearities, high-dimensional interactions, and increasing interdependence across regions. While deep…

cs.LG2021★ 13 cited

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★ 6 cited

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…