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100 1 a| Zhu, Xiangqi,e| author.=| ^A1431949;

245 10 a| Data-driven load diversity and variability modeling for quasi-static time-series simulation on distribution feeders :b| preprint /c| Xiangqi Zhu and Barry Mather.;

264 1 a| Golden, CO :b| National Renewable Energy Laboratory,c| 2019.;

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

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500 a| "October 2019.";

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

504 a| Includes bibliographical references.;

536 b| Contract No. DE-AC36-08GO28308.;

588 a| Description based on online resource; title from PDF title page (NREL, viewed on Aug. 3, 2020).;

650 0 a| Electric power distribution.=| ^A58762;

650 0 a| Time-series analysis.=| ^A7961;

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| 5D00-73146.=| ^A755847;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5490235-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 9/12/2020x| EDOCUMENTz| JERESOURCE;

Data-driven load diversity and variability modeling for quasi-static time-series simulation on distribution feeders : preprint / Xiangqi Zhu and Barry Mather.

Author/creator	Zhu, Xiangqi author.
Other author	National Renewable Energy Laboratory (U.S.) issuing body.
Format	Electronic
Publication	Golden, CO : National Renewable Energy Laboratory, 2019.
Description	1 online resource (5 pages) : color illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo142479
Subjects	Electric power distribution. Time-series analysis.

Series	NREL/CP ; 5D00-73146 Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-73146. ^A755847
General note	Presented at the 2019 IEEE Power and Energy Society General Meeting (IEEE PES GM), 4-8 August 2019, Atlanta, Georgia.
General note	"October 2019."
General note	GPO Cataloging Record Distribution Program (CRDP).
Bibliography note	Includes bibliographical references.
Funding information	Contract No. DE-AC36-08GO28308.
Source of description	Description based on online resource; title from PDF title page (NREL, viewed on Aug. 3, 2020).
GPO item number	0430-P-04 (online)
Govt. docs number	E 9.17:NREL/CP 5 D 00-73146

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Data-driven load diversity and variability modeling for quasi-static time-series simulation on distribution feeders : preprint / Xiangqi Zhu and Barry Mather.

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