Canonical Correlation Analysis for Detecting Changes in Network Structure. - Aidan O'Sullivan; Niall M. Adams; Iead Rezek (ICDM Workshops, 2012)

DynaMIT2.0: Architecture Design and Preliminary Results on Real-Time Data Fusion for Traffic Prediction and Crisis Management. - Yang Lu; Ravi Seshadri; Francisco C. Pereira; Aidan O'Sullivan; Constantinos Antoniou 001; Moshe E. Ben-Akiva (ITSC, 2015)

Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach. - Aidan O'Sullivan; Francisco C. Pereira; Jinhua Zhao; Harilaos N. Koutsopoulos (IEEE Trans. Intell. Transp. Syst., 2016)

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 (CoRR, 2019)

Learning to run a Power Network Challenge: a Retrospective Analysis. - Antoine Marot; Benjamin Donnot; Gabriel Dulac-Arnold; Adrian Kelly; Aidan O'Sullivan; Jan Viebahn; Mariette Awad; Isabelle Guyon; Patrick Panciatici; Camilo Romero (NeurIPS (Competition and Demos), 2020)

Reinforcement Learning for Electricity Network Operation. - Adrian Kelly; Aidan O'Sullivan; Patrick de Mars; Antoine Marot (CoRR, 2020)

Explaining deep neural network models for electricity price forecasting with XAI. - Antoine Pesenti; Aidan O'Sullivan (CoRR, 2025)