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), |
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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
Location | Call Number: | Status |
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CMU Gov Pub Electronic | E 9.22:NREL/PR-5 C 00-80488 | Online |