A machine learning framework for bridging the gap between the steady-state scheduling and dynamic security operation for future power grids / Jin Tan.
Saved in:
| Online Access: |
Online Access |
|---|---|
| Main Author: | |
| Corporate Author: | |
| Format: | Government Document eBook |
| Language: | English |
| Published: |
[Golden, Colo.] :
National Renewable Energy Laboratory,
2021.
|
| Series: | NREL/PR ;
5C00-80488. |
| Subjects: |
| Item Description: | Slideshow presentation. "7/26/2021; presented at IEEE PES GM 2021." |
|---|---|
| Physical Description: | 1 online resource (23 pages) : color illustrations, color maps. |
| Source of Description, Etc. Note: | Description based on online resource; title from PDF title page (NREL, viewed February 15, 2021) |
| Funding Information Note: | U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Solar Energy Technologies Office |