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074 a| 0430-P-09 (online);

086 0 a| E 9.22:NREL/PR-2 C 00-78103;

100 1 a| Zhang, Xiangyuc| (of National Renewable Energy Laboratory),e| author.=| ^A1439402;

245 10 a| Restoring distribution system under renewable uncertainty using reinforcement learning /c| Xiangyu Zhang [and three others].;

264 1 a| [Golden, Colo.] :b| National Renewable Energy Laboratory,c| 2020.;

300 a| 1 online resource (12 pages, 1 unnumbered page) :b| color illustrations.;

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500 a| Slideshow presentation.;

500 a| "IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, November 11-13, 2020.";

500 a| "Funding provided by the Improving Distribution System Resiliency via Deep Reinforcement Learning Project funded by the U.S. Department of Energy Office of Electricity Advance Grid Modeling program"--Page 13.;

500 a| GPO Cataloging Record Distribution Program (CRDP).;

536 b| DE-AC36-08GO28308;

588 a| Description based on online resource; title from PDF title page (NREL, viewed April 29, 2022).;

650 0 a| Reinforcement learningz| United States.=| ^A810025;

650 0 a| Electric power distributionz| United States.=| ^A1012586;

650 0 a| Distributed generation of electric powerz| United States.=| ^A610512;

650 0 a| Renewable energy sourcesz| United States.=| ^A154087;

710 2 a| National Renewable Energy Laboratory (U.S.)e| issuing body.=| ^A367790;

830 0 a| NREL/PRv| 2C00-78103.=| ^A782094;

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Restoring distribution system under renewable uncertainty using reinforcement learning / Xiangyu Zhang [and three others].

Author/creator	Zhang, Xiangyu author.
Other author	National Renewable Energy Laboratory (U.S.) issuing body.
Format	Electronic
Publication	[Golden, Colo.] : National Renewable Energy Laboratory, 2020.
Description	1 online resource (12 pages, 1 unnumbered page) : color illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo178124
Subjects	Reinforcement learning--United States. Electric power distribution--United States. Distributed generation of electric power--United States. Renewable energy sources--United States.

Series	NREL/PR ; 2C00-78103 NREL/PR 2C00-78103. ^A782094
General note	Slideshow presentation.
General note	"IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, November 11-13, 2020."
General note	"Funding provided by the Improving Distribution System Resiliency via Deep Reinforcement Learning Project funded by the U.S. Department of Energy Office of Electricity Advance Grid Modeling program"--Page 13.
General note	GPO Cataloging Record Distribution Program (CRDP).
Funding information	DE-AC36-08GO28308
Source of description	Description based on online resource; title from PDF title page (NREL, viewed April 29, 2022).
GPO item number	0430-P-09 (online)
Govt. docs number	E 9.22:NREL/PR-2 C 00-78103

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Restoring distribution system under renewable uncertainty using reinforcement learning / Xiangyu Zhang [and three others].

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