Data-driven aerodynamic optimization for enhancing unsteady performance in wind energy systems

Journal:: Energy
Published:: 2025-11-14
DOI:: 10.1016/j.energy.2025.139209
Affiliations:: 3
Authors:: 7

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Institutions	Authors	Share
University of Shanghai for Science and Technology (USST), China	4.500000	0.64
University of Liverpool, United Kingdom (UK)	2.500000	0.36

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