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Title 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.

Publication Info.

Golden, CO : National Renewable Energy Laboratory, 2020.

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Description	1 online resource (8 pages) : color illustrations.
	text txt rdacontent
	computer c rdamedia
	online resource cr rdacarrier
Series	NREL/CP ; 5D00-74256
	Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-74256.
Note	Presented at the 2019 CIGRE Grid of the Future Symposium, 3-6 November 2019, Atlanta, Georgia.
	"March 2020."
Bibliography	Includes bibliographical references.
Funding	Contract No. DE-AC36-08GO28308.
Note	Description based on online resource; title from PDF title page (NREL, viewed on Oct. 15, 2020).
Subject	Electric power system stability.
	Machine learning.
	Réseaux électriques (Énergie) -- Stabilité.
	Apprentissage automatique.
	Electric power system stability
	Machine learning
Added Author	National Renewable Energy Laboratory (U.S.), issuing body.
Gpo Item No.	0430-P-04 (online)
Sudoc No.	E 9.17:NREL/CP-5 D 00-74256