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Title: Inverse energy model development via high-dimensional data analysis and sub-metering priority in building data monitoring

Abstract

Not provided.

Authors:
; ; ; ORCiD logo
Publication Date:
Research Org.:
Pennsylvania State Univ., University Park, PA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1538248
DOE Contract Number:  
EE0004261
Resource Type:
Journal Article
Journal Name:
Energy and Buildings
Additional Journal Information:
Journal Volume: 172; Journal Issue: C; Journal ID: ISSN 0378-7788
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
Construction & Building Technology; Energy & Fuels; Engineering

Citation Formats

Chen, Zhao, Freihaut, James, Lin, Bo, and Wang, Christina Dan. Inverse energy model development via high-dimensional data analysis and sub-metering priority in building data monitoring. United States: N. p., 2018. Web. doi:10.1016/j.enbuild.2018.04.061.
Chen, Zhao, Freihaut, James, Lin, Bo, & Wang, Christina Dan. Inverse energy model development via high-dimensional data analysis and sub-metering priority in building data monitoring. United States. doi:10.1016/j.enbuild.2018.04.061.
Chen, Zhao, Freihaut, James, Lin, Bo, and Wang, Christina Dan. Wed . "Inverse energy model development via high-dimensional data analysis and sub-metering priority in building data monitoring". United States. doi:10.1016/j.enbuild.2018.04.061.
@article{osti_1538248,
title = {Inverse energy model development via high-dimensional data analysis and sub-metering priority in building data monitoring},
author = {Chen, Zhao and Freihaut, James and Lin, Bo and Wang, Christina Dan},
abstractNote = {Not provided.},
doi = {10.1016/j.enbuild.2018.04.061},
journal = {Energy and Buildings},
issn = {0378-7788},
number = C,
volume = 172,
place = {United States},
year = {2018},
month = {8}
}