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100 1 a| Tan, Jinc| (Engineer),e| author.=| ^A1435755;

245 12 a| A machine learning framework for bridging the gap between the steady-state scheduling and dynamic security operation for future power grids /c| Jin Tan.;

264 1 a| [Golden, Colo.] :b| National Renewable Energy Laboratory,c| 2021.;

300 a| 1 online resource (23 pages) :b| color illustrations, color maps.;

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536 a| U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Solar Energy Technologies Officed| 34224;

588 a| Description based on online resource; title from PDF title page (NREL, viewed February 15, 2021).;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Electric power distributionx| Security measuresz| United States.=| ^A58762;

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

Author/creator	Tan, Jin author.
Other author	National Renewable Energy Laboratory (U.S.) issuing body.
Other author	United States. Department of Energy. Solar Energy Technologies Office, sponsoring body.
Format	Electronic
Publication	[Golden, Colo.] : National Renewable Energy Laboratory, 2021.
Description	1 online resource (23 pages) : color illustrations, color maps.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo175421
Subjects	Machine learning. Electric power distribution--Security measures. --United States.

Series	NREL/PR ; 5C00-80488 NREL/PR 5C00-80488. ^A782094
General note	Slideshow presentation.
General note	"7/26/2021; presented at IEEE PES GM 2021."
General note	GPO Cataloging Record Distribution Program (CRDP).
Funding information	DE-AC36-08GO28308
Funding information	U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Solar Energy Technologies Office 34224
Source of description	Description based on online resource; title from PDF title page (NREL, viewed February 15, 2021).
GPO item number	0430-P-09 (online)
Govt. docs number	E 9.22:NREL/PR-5 C 00-80488

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

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