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

Bibliographic Details
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.
Online Access:https://purl.fdlp.gov/GPO/gpo175421
Description
Item Description:Slideshow presentation.
"7/26/2021; presented at IEEE PES GM 2021."
GPO Cataloging Record Distribution Program (CRDP).
Physical Description:1 online resource (23 pages) : color illustrations, color maps.