2 options
Restoring distribution system under renewable uncertainty using reinforcement learning: preprint / Xiangyu Zhang [and three others].
- Format:
- Book
- Government document
- Author/Creator:
- Zhang, Xiangyu (of National Renewable Energy Laboratory), author.
- Series:
- Conference paper (National Renewable Energy Laboratory (U.S.)) ; 2C00-77116.
- NREL/CP ; 2C00-77116
- Language:
- English
- Subjects (All):
- Reinforcement learning--United States.
- Reinforcement learning.
- Electric power distribution--United States.
- Electric power distribution.
- Distributed generation of electric power--United States.
- Distributed generation of electric power.
- Renewable energy sources--United States.
- Renewable energy sources.
- United States.
- Physical Description:
- 1 online resource (2 unnumbered pages, 6 pages) : color illustrations.
- Place of Publication:
- Golden, CO : National Renewable Energy Laboratory, 2020.
- Notes:
- "October 2020."
- "Presented at the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm) November 11-13, 2020"--Cover.
- In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).
- Includes bibliographical references (page 6).
- Description based on online resource; title from PDF title page (NREL, viewed Feb. 15, 2023).
- OCLC:
- 1370244280
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