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

Main Author: Tan, Jin (Engineer),
Other Authors: National Renewable Energy Laboratory (U.S.),, United States. Department of Energy. Solar Energy Technologies Office,
Format: eBook
Language: English
Published: [Golden, Colo.] : National Renewable Energy Laboratory, 2021.
Physical Description: 1 online resource (23 pages) : color illustrations, color maps.
Series: NREL/PR ; 5C00-80488.
Subjects:
Online Access: https://purl.fdlp.gov/GPO/gpo175421
https://purl.fdlp.gov/GPO/gpo175421

CMU Gov Pub Electronic

LocationCall Number: Status
CMU Gov Pub Electronic E 9.22:NREL/PR-5 C 00-80488 Online