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:
Online Access:https://purl.fdlp.gov/GPO/gpo175421