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043 a| n-us---;

049 a| ERE#;

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

086 0 a| E 9.17:NREL/CP-6 A 20-79705;

100 1 a| Buster, Grant,e| author.=| ^A1462852;

245 10 a| Physics-guided machine learning for prediction of cloud properties in satellite-derived solar data :b| preprint /c| Grant Buster [and seven others].;

264 1 a| Golden, CO :b| National Renewable Energy Laboratory,c| May 2021.;

300 a| 1 online resource (4 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| 6A20-79705;

500 a| "May 2021.";

500 a| "Presented at the 48th IEEE Photovoltaic Specialists Conference (PVSC 48), June 20-25, 2020.";

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

504 a| Includes bibliographical references (page 4).;

513 a| Conference paper.;

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

588 a| Description based on online resource; title from PDF title page (NREL, viewed on Oct. 14, 2021).;

611 20 a| IEEE Photovoltaic Specialists Conference.=| ^A724521;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Cloud computingz| United States.=| ^A1012332;

650 0 a| Solar energyz| United States.=| ^A1019179;

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| 6A20-79705.=| ^A755847;

856 40 u| https://purl.fdlp.gov/GPO/gpo161228;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5768501-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 11/30/2021x| EDOCUMENTz| JERESOURCE;

Physics-guided machine learning for prediction of cloud properties in satellite-derived solar data : preprint / Grant Buster [and seven others].

Author/creator	Buster, Grant author.
Other author	National Renewable Energy Laboratory (U.S.) issuing body.
Format	Electronic
Publication	Golden, CO : National Renewable Energy Laboratory, May 2021.
Description	1 online resource (4 pages) : color illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo161228
Subjects	Machine learning. Cloud computing--United States. Solar energy--United States.

Series	NREL/CP ; 6A20-79705 Conference paper (National Renewable Energy Laboratory (U.S.)) ; 6A20-79705. ^A755847
General note	"May 2021."
General note	"Presented at the 48th IEEE Photovoltaic Specialists Conference (PVSC 48), June 20-25, 2020."
General note	GPO Cataloging Record Distribution Program (CRDP).
Bibliography note	Includes bibliographical references (page 4).
Report note	Conference paper.
Funding information	National Renewable Energy Laboratory DE-AC36-08GO28308
Source of description	Description based on online resource; title from PDF title page (NREL, viewed on Oct. 14, 2021).
GPO item number	0430-P-04 (online)
Govt. docs number	E 9.17:NREL/CP-6 A 20-79705

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Physics-guided machine learning for prediction of cloud properties in satellite-derived solar data : preprint / Grant Buster [and seven others].

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