Dr Helen Sheehan
Current positions
Honorary Research Associate
School of Civil, Aerospace and Design Engineering
Contact
Press and media
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Publications
Recent publications
28/05/2025Time-Accurate Wind Farm Control in Dynamic Flow Conditions using Deep Reinforcement Learning
Wake Conference 2025
Investigations into Deep Reinforcement Learning for Wind Farm Set-Point Optimisation
Expert Systems with Applications
Graph-based Deep Reinforcement Learning for Wind Farm Set-Point Optimisation
The Science of Making Torque from Wind (TORQUE 2024) 29/05/2024 - 31/05/2024 Florence, Italy
Deep Reinforcement Learning for Wind Farm Set-Point Optimisation
Predicting Linearised Wind Resource Grids using Neural Networks
Journal of Wind Engineering and Industrial Aerodynamics
Thesis
Machine learning for wind flow modelling
Supervisors
Award date
22/03/2022
