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Data-driven security assessment of power grids based on machine learning approach : preprint / H. Xiao, S. Fabus, Y. Su, S. You, Y. Zhao, H. Li, C. Zhang, Y. Liu1, H. Yuan, Y. Zhang, and J. Tan.
- Format:
- Book
- Government document
- Author/Creator:
- Xiao, H. (Huangqing), 1990- author.
- Series:
- Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-74256.
- NREL/CP ; 5D00-74256
- Language:
- English
- Subjects (All):
- Electric power system stability.
- Machine learning.
- Physical Description:
- 1 online resource (8 pages) : color illustrations.
- Place of Publication:
- Golden, CO : National Renewable Energy Laboratory, 2020.
- Notes:
- Presented at the 2019 CIGRE Grid of the Future Symposium, 3-6 November 2019, Atlanta, Georgia.
- "March 2020."
- Includes bibliographical references.
- Description based on online resource; title from PDF title page (NREL, viewed on Oct. 15, 2020).
- OCLC:
- 1200314367
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