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Title: Day-ahead hourly electricity load modeling by functional regression

Authors:
;
Publication Date:
Type:
Publisher's Accepted Manuscript
Journal Name:
Applied Energy
Additional Journal Information:
Journal Volume: 170; Journal Issue: C; Related Information: CHORUS Timestamp: 2018-09-14 03:55:13; Journal ID: ISSN 0306-2619
Publisher:
Elsevier
Sponsoring Org:
USDOE
Country of Publication:
United Kingdom
Language:
English
OSTI Identifier:
1341098

Feng, Yonghan, and Ryan, Sarah M. Day-ahead hourly electricity load modeling by functional regression. United Kingdom: N. p., Web. doi:10.1016/j.apenergy.2016.02.118.
Feng, Yonghan, & Ryan, Sarah M. Day-ahead hourly electricity load modeling by functional regression. United Kingdom. doi:10.1016/j.apenergy.2016.02.118.
Feng, Yonghan, and Ryan, Sarah M. 2016. "Day-ahead hourly electricity load modeling by functional regression". United Kingdom. doi:10.1016/j.apenergy.2016.02.118.
@article{osti_1341098,
title = {Day-ahead hourly electricity load modeling by functional regression},
author = {Feng, Yonghan and Ryan, Sarah M.},
abstractNote = {},
doi = {10.1016/j.apenergy.2016.02.118},
journal = {Applied Energy},
number = C,
volume = 170,
place = {United Kingdom},
year = {2016},
month = {5}
}