Daniel Poole

Academic , Senior Lecturer

University of Bristol

United Kingdom

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Daniel Poole is a Senior Lecturer at The University of Bristol in the United Kingdom. His research areas include deep reinforcement learning applications in wind farm optimization, aerodynamic design optimization, and the use of neural networks for predicting wind resource grids. He has contributed to several recent articles focusing on advanced methods for aeroelastic wing optimization and enhancing PIV image analysis through selective spatial correlation.

Articles (5)

Year:

2025

Year:

2022

Year:

2022

Year:

2022

Year:

2020

Collaborators (2)

Thomas Rendall

University of Bristol

UNITED KINGDOM

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Laurence Kedward

University of Bristol

UNITED KINGDOM

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Daniel Poole

Research Interests

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Articles (5)

Investigations into Deep Reinforcement Learning for Wind Farm Set-Point Optimisation

Generic Modal Design Variables for Efficient Aerodynamic Optimization

Efficient aeroelastic wing optimization through a compact aerofoil decomposition approach

Predicting Linearised Wind Resource Grids using Neural Networks

On the feasibility of selective spatial correlation to accelerate convergence of PIV image analysis based on conﬁdence statistics

Collaborators (2)

Thomas Rendall

Laurence Kedward

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