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Author
Stanfel, Paul, author.
Title
A distributed reinforcement learning yaw control approach for wind farm energy capture maximization: preprint / Paul Stanfel [and 3 others].
Publication Info.
Golden, CO : National Renewable Energy Laboratory, August 2020.
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Description
1 online resource (6 pages) : illustrations (chiefly color).
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series
Conference paper / NREL ; NREL/CP-5000-75889
Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5000-75889.
Note
In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).
"August 2020."
"Presented at the American Control Conference (ACC), July 1-3, 2020"--Cover.
Bibliography
Includes bibliographical references (page 6).
Funding
DE-AC36-08GO28308
Note
Description based on online resource; title from PDF title page (NREL, viewed February 24, 2021).
Subject
Wind turbines -- Aerodynamics.
Wind power plants -- United States -- Design and construction.
Wakes (Aerodynamics) -- Computer simulation.
Reinforcement learning -- United States -- Simulation methods.
Éoliennes -- Aérodynamique.
Sillage (Aérodynamique) -- Simulation par ordinateur.
Apprentissage par renforcement (Intelligence artificielle) -- États-Unis -- Méthodes de simulation.
Wakes (Aerodynamics) -- Computer simulation
Wind turbines -- Aerodynamics
United States https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
Added Author
National Renewable Energy Laboratory (U.S.), issuing body.
United States. Department of Energy, sponsoring body.
Gpo Item No.
0430-P-04 (online)
Sudoc No.
E 9.17:NREL/CP-5000-75889
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