A machine learning framework for bridging the gap between the steady-state scheduling and dynamic security operation for future power grids / Jin Tan.

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Bibliographic Details
Online Access:	Online Access
Main Author:	Tan, Jin (Engineer) (Author)
Corporate Author:	United States. Department of Energy. Solar Energy Technologies Office (sponsoring body.)
Format:	Government Document eBook
Language:	English
Published:	[Golden, Colo.] : National Renewable Energy Laboratory, 2021.
Series:	NREL/PR ; 5C00-80488.
Subjects:	Machine learning. Electric power distribution > Security measures > United States.

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Call Number:	E 9.22:NREL/PR-5 C 00-80488
E 9.22:NREL/PR-5 C 00-80488	Available