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074 a| 0430-P-04 (online);

086 0 a| E 9.17:NREL/CP 5 D 00-74737;

100 1 a| Paul, Shuva,e| author.=| ^A1429596;

245 10 a| Identification of worst impact zones for power grids during extreme weather events using Q-learning :b| preprint /c| Shuva Paul and Fei Ding.;

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

300 a| 1 online resource (5 pages) :b| illustrations (some color).;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| Conference paper ;v| NREL/CP-5D00-74737;

500 a| "February 2020.";

500 a| "Presented at the 2020 IEEE Conference on Innovative Smart Grid Technologies (IEEE ISGT), Washington, D.C., February 17-20 2020"--Page 1 of cover.;

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

504 a| Includes bibliographical references (page 5).;

536 b| DE-AC36-08GO28308;

588 a| Description based on online resource; title from PDF title page (NREL, viewed on August 4, 2020).;

650 0 a| Electric power distributionz| United Statesx| Computer simulation.=| ^A1012586;

650 0 a| Emergency managementz| United States.=| ^A276298;

650 0 a| Natural disastersz| United States.=| ^A1005952;

650 0 a| Infrastructure (Economics)z| United States.=| ^A155518;

650 0 a| Electric power failuresz| United Statesx| Computer simulation.=| ^A434239;

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

700 1 a| Ding, Fei,e| author.?| UNAUTHORIZED;

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

830 0 a| Conference paper (National Renewable Energy Laboratory (U.S.)) ;v| 5D00-74737.=| ^A755847;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5490876-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 9/12/2020x| EDOCUMENTz| JERESOURCE;

Identification of worst impact zones for power grids during extreme weather events using Q-learning : preprint / Shuva Paul and Fei Ding.

Author/creator	Paul, Shuva author.
Other author	Ding, Fei, 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 (5 pages) : illustrations (some color).
Supplemental Content	https://purl.fdlp.gov/GPO/gpo143071
Subjects	Electric power distribution--United States. --Computer simulation. Emergency management--United States. Natural disasters--United States. Infrastructure (Economics)--United States. Electric power failures--United States. --Computer simulation. Reinforcement learning--United States.

Series	Conference paper ; NREL/CP-5D00-74737 Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-74737. ^A755847
General note	"February 2020."
General note	"Presented at the 2020 IEEE Conference on Innovative Smart Grid Technologies (IEEE ISGT), Washington, D.C., February 17-20 2020"--Page 1 of cover.
General note	GPO Cataloging Record Distribution Program (CRDP).
Bibliography note	Includes bibliographical references (page 5).
Funding information	DE-AC36-08GO28308
Source of description	Description based on online resource; title from PDF title page (NREL, viewed on August 4, 2020).
GPO item number	0430-P-04 (online)
Govt. docs number	E 9.17:NREL/CP 5 D 00-74737

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Identification of worst impact zones for power grids during extreme weather events using Q-learning : preprint / Shuva Paul and Fei Ding.

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