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

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

300 a| 1 online resource (2 unnumbered pages, 6 pages) :b| color illustrations.;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| NREL/CP ;v| 2C00-77116;

500 a| "October 2020.";

500 a| "Presented at the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm) November 11-13, 2020"--Cover.;

500 a| In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).;

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

504 a| Includes bibliographical references (page 6).;

536 a| Sponsored by National Renewable Energy Laboratoryb| DE-AC36-08GO28308;

588 a| Description based on online resource; title from PDF title page (NREL, viewed Feb. 15, 2023).;

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.)0| https://id.loc.gov/authorities/names/no91027023,e| issuing body.=| ^A367790;

830 0 a| Conference paper (National Renewable Energy Laboratory (U.S.)) ;0| https://id.loc.gov/authorities/names/no2007111845 ;v| 2C00-77116.=| ^A755847;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5966597-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 3/15/2023x| EDOCUMENTz| JERESOURCE;

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

Author/creator	Zhang, Xiangyu author.
Other author	National Renewable Energy Laboratory (U.S.) issuing body.
Format	Electronic
Publication	Golden, CO : National Renewable Energy Laboratory, 2020.
Description	1 online resource (2 unnumbered pages, 6 pages) : color illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo193243
Subjects	Reinforcement learning--United States. Electric power distribution--United States. Distributed generation of electric power--United States. Renewable energy sources--United States.

Series	NREL/CP ; 2C00-77116 Conference paper (National Renewable Energy Laboratory (U.S.)) ; https://id.loc.gov/authorities/names/no2007111845 ; 2C00-77116. ^A755847
General note	"October 2020."
General note	"Presented at the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm) November 11-13, 2020"--Cover.
General note	In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).
General note	GPO Cataloging Record Distribution Program (CRDP).
Bibliography note	Includes bibliographical references (page 6).
Funding information	Sponsored by National Renewable Energy Laboratory DE-AC36-08GO28308
Source of description	Description based on online resource; title from PDF title page (NREL, viewed Feb. 15, 2023).
GPO item number	0430-P-04 (online)
Govt. docs number	E 9.17:NREL/CP-2 C 00-77116

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

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