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Dive into the research topics where Helen M Sheehan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
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A Graph-based Multi-Agent Approach for Wind Farm Flow Control using Reinforcement Learning
Sheehan, H. M., Poole, D. J., de Menezes e Silva Filho, T., Inwood, J., Bossanyi, E. A., Harrison, M. & Landberg, L., 14 May 2026, (Accepted/In press) In: Renewable Energy.Research output: Contribution to journal › Article (Academic Journal) › peer-review
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Investigations into Deep Reinforcement Learning for Wind Farm Set-Point Optimisation
Sheehan, H. M., Poole, D. J., de Menezes e Silva Filho, T., Bossanyi, E. A. & Landberg, L., 5 Jul 2025, In: Expert Systems with Applications. 282, 13 p., 127627.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access1 Citation (Scopus) -
Time-Accurate Wind Farm Control in Dynamic Flow Conditions using Deep Reinforcement Learning
Sheehan, H. M., Poole, D. J., de Menezes e Silva Filho, T., Bossanyi, E. A., Harrison, M. & Landberg, L., 28 May 2025, Wake Conference 2025. 1 ed. Institute of Physics Publishing, Vol. 3016. 10 p. 012025. (Journal of Physics: Conference Series).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open Access
Thesis
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Machine learning for wind flow modelling: using grid-based neural networks to capture wind flow changes over terrain
Sheehan, H. M. (Author), Poole, D. (Supervisor) & Harper, P. (Supervisor), 22 Mar 2022Student thesis: Master's Thesis › Master of Science by Research (MScR)
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