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100 1 a| Paul, Shuva,e| author.0| http://id.loc.gov/authorities/names/no2022005388;

240 10 a| Identification of worst impact zones for power grids during extreme weather events using Q-learning (Poster);

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

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

300 a| 1 online resource (1 poster) :b| color.;

336 a| textb| txt2| rdacontent;

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490 1 a| NREL/PO ;v| 5D00-76117;

500 a| "February 17-20, 2020.";

500 a| "This work was authored by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. This work was supported by the Laboratory Directed Research and Development (LDRD) Program at NREL.";

500 a| "IEEE ISGT [Innovative Smart Grid Technologies] NA 2020 Washington, D.C.";

500 a| This is a publication issued by the United States federal government or produced with federal funds.;

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

536 b| DE-AC36-08GO28308;

588 a| Description based on online resource; title from PDF caption (NREL, viewed January 7, 2026).;

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

650 0 a| Emergency managementz| United States.;

650 0 a| Natural disastersz| United States.;

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

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

650 0 a| Reinforcement learningz| United States.;

655 07 a| Posters.2| lcgft;

710 2 a| National Renewable Energy Laboratory (U.S.),e| author.0| http://id.loc.gov/authorities/names/no91027023;

787 08 a| Paul, Shuva.t| Identification of worst impact zones for power grids during extreme weather events using Q-learning.w| (OCoLC)1190590210;

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

Author/creator	Paul, Shuva author.
Other author	Ding, Fei (Engineer), author.
Other author	National Renewable Energy Laboratory (U.S.), author.
Format	Electronic
Publication	[Golden, Colorado] : National Renewable Energy Laboratory, 2020.
Description	1 online resource (1 poster) : color.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo251260
Supplemental Content	Address at time of PURL creation
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.

Uniform title	Identification of worst impact zones for power grids during extreme weather events using Q-learning (Poster)
Series	NREL/PO ; 5D00-76117 NREL/PO ; 5D00-76117. http://id.loc.gov/authorities/names/no2008020017
General note	"February 17-20, 2020."
General note	"This work was authored by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. This work was supported by the Laboratory Directed Research and Development (LDRD) Program at NREL."
General note	"IEEE ISGT [Innovative Smart Grid Technologies] NA 2020 Washington, D.C."
General note	This is a publication issued by the United States federal government or produced with federal funds.
General note	In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP) distribution.
Funding information	DE-AC36-08GO28308
Source of description	Description based on online resource; title from PDF caption (NREL, viewed January 7, 2026).
Related Item	Paul, Shuva. Identification of worst impact zones for power grids during extreme weather events using Q-learning.
Genre/form	Posters.
GPO item number	0430-P-17 (online)
Govt. docs number	E 9.28:NREL/PO-5 D 00-76117

Availability

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Online Content https://purl.fdlp.gov/GPO/gpo251260 Address at time of PURL creation	✔ Available

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

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