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A distributed reinforcement learning yaw control approach for wind farm energy capture maximization: preprint / Paul Stanfel [and 3 others].

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Format:
Book
Government document
Author/Creator:
Stanfel, Paul, author.
Contributor:
National Renewable Energy Laboratory (U.S.), issuing body.
United States. Department of Energy, sponsoring body.
Series:
Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5000-75889.
Conference paper / NREL ; NREL/CP-5000-75889
Language:
English
Subjects (All):
Wind turbines--Aerodynamics.
Wind turbines.
Wind power plants--United States--Design and construction.
Wind power plants.
Wakes (Aerodynamics)--Computer simulation.
Wakes (Aerodynamics).
Reinforcement learning--United States--Simulation methods.
Reinforcement learning.
United States.
Physical Description:
1 online resource (6 pages) : illustrations (chiefly color).
Place of Publication:
Golden, CO : National Renewable Energy Laboratory, August 2020.
Notes:
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.
Includes bibliographical references (page 6).
Description based on online resource; title from PDF title page (NREL, viewed February 24, 2021).
OCLC:
1371989568

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