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Restoring critical loads in resilient distribution systems using a curriculum learned controller: preprint / Xiangyu Zhang [and 4 others].

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U.S. Government Documents Available online

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Format:
Book
Government document
Author/Creator:
Zhang, Xiangyu (of National Renewable Energy Laboratory), 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-2C00-78351.
Conference paper / NREL ; NREL/CP-2C00-78351
Language:
English
Subjects (All):
Electric controllers--Calibration--United States.
Electric controllers.
Electric current regulators--United States--Computer simulation.
Electric current regulators.
Reinforcement learning--United States.
Reinforcement learning.
United States.
Physical Description:
1 online resource (5 pages) : color illustrations.
Place of Publication:
Golden, CO : National Renewable Energy Laboratory, January 2021.
Notes:
In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).
"January 2021."
"Presented at the 2021 IEEE Power & Energy Society General Meeting, July 25-29, 2021"--Cover.
Includes bibliographical references (page 5).
Description based on online resource; title from PDF title page (NREL, viewed March 3, 2023).
OCLC:
1372184114

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