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049 a| ERE#;

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

086 0 a| E 9.17:NREL/CP-5 D 00-77768;

100 1 a| Yang, Ruic| (Electrical and computer engineer),e| author.=| ^A1454651;

245 10 a| Machine-learning-driven, site-specific weather forecasting for grid-interactive efficient buildings :b| preprint /c| Rui Yang [and 3 others].;

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

300 a| 1 online resource (16 pages) :b| color illustrations.;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| Conference paper / NREL ;v| NREL/CP-5D00-77768;

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| "September 2020.";

500 a| "Presented at the 2020 ACEEE Summer Study on Energy Efficiency in Buildings, August 17-21, 2020"--Cover.;

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

504 a| Includes bibliographical references (pages 14-16).;

536 b| DE-AC36-08GO28308;

588 a| Description based on online resource; title from PDF title page (NREL, viewed February 27, 2023).;

650 0 a| Weatherv| Observations.=| ^A11382;

650 0 a| Building sitesx| Planning.=| ^A141252;

650 0 a| Weather forecastingx| Mathematical models.=| ^A27121;

650 0 a| Neural networks (Computer science)x| Scientific applications.=| ^A263002;

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

710 1 a| United States.b| Department of Energy,e| sponsoring body.=| ^A634277;

830 0 a| Conference paper (National Renewable Energy Laboratory (U.S.)) ;v| NREL/CP-5D00-77768.=| ^A755847;

856 40 u| https://purl.fdlp.gov/GPO/gpo1935627| 0;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6025540-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 4/21/2023x| EDOCUMENTz| JERESOURCE;

Machine-learning-driven, site-specific weather forecasting for grid-interactive efficient buildings : preprint / Rui Yang [and 3 others].

Author/creator	Yang, Rui author.
Other author	National Renewable Energy Laboratory (U.S.) issuing body.
Other author	United States. Department of Energy, sponsoring body.
Format	Electronic
Publication	Golden, CO : National Renewable Energy Laboratory, September 2020.
Description	1 online resource (16 pages) : color illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo193562
Subjects	Weather--Observations. Building sites--Planning. Weather forecasting--Mathematical models. Neural networks (Computer science)--Scientific applications.

Series	Conference paper / NREL ; NREL/CP-5D00-77768 Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5D00-77768. ^A755847
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	"September 2020."
General note	"Presented at the 2020 ACEEE Summer Study on Energy Efficiency in Buildings, August 17-21, 2020"--Cover.
General note	GPO Cataloging Record Distribution Program (CRDP).
Bibliography note	Includes bibliographical references (pages 14-16).
Funding information	DE-AC36-08GO28308
Source of description	Description based on online resource; title from PDF title page (NREL, viewed February 27, 2023).
GPO item number	0430-P-04 (online)
Govt. docs number	E 9.17:NREL/CP-5 D 00-77768

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Machine-learning-driven, site-specific weather forecasting for grid-interactive efficient buildings : preprint / Rui Yang [and 3 others].

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