A machine learning-based method to estimate transformer primary-side voltages with limited customer-side AMI measurement /

Bibliographic Details
Main Author: Wang, Jiyu (Of National Renewable Energy Laboratory) (Author)
Format: Government Document eBook
Language:English
Published: Golden CO : National Renewable Energy Laboratory, 2021.
Series:Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5D00-78299.
Subjects:
Online Access:https://purl.fdlp.gov/GPO/gpo173231

MARC

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086 0 |a E 9.17:NREL/CP-5 D 00-78299 
100 1 |a Wang, Jiyu  |c (Of National Renewable Energy Laboratory),  |e author. 
245 1 2 |a A machine learning-based method to estimate transformer primary-side voltages with limited customer-side AMI measurement /  |c Jiyu Wang [and six others] 
246 3 |a Machine learning-based method to estimate transformer primary-side voltages with limited customer-side advanced metering infrastructure measurement 
264 1 |a Golden CO :  |b National Renewable Energy Laboratory,  |c 2021. 
300 |a 1 online resource (5 pages) ;  |b color illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Conference paper ;  |v NREL/CP-5D00-78299 
500 |a "Preprint." 
500 |a "August 2021." 
500 |a "Presented at the 2021 IEEE Power and Energy Society General Meeting July 26-29, 2021." 
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 Dec. 27, 2021). 
650 0 |a Machine learning. 
650 0 |a Electric transformers. 
710 2 |a National Renewable Energy Laboratory (U.S.),  |e issuing body. 
787 0 8 |i Derivative (work):  |a Wang, Jiyu (Of National Renewable Energy Laboratory).  |s Machine learning-based method to estimate transformer primary-side voltages with limited customer-side AMI measurements (Presentation)  |w (OCoLC)1290318498 
830 0 |a Conference paper (National Renewable Energy Laboratory (U.S.)) ;  |v NREL/CP-5D00-78299. 
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