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Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition
Author(s):
Chuan Li
,
Ying Tao
,
Wengang Ao
,
Shuai Yang
,
Yun Bai
Publication date
Created:
December 2018
Publication date
(Print):
December 2018
Journal:
Energy
Publisher:
Elsevier BV
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There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
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Renewable Energy - Geothermal
Author and article information
Journal
Title:
Energy
Abbreviated Title:
Energy
Publisher:
Elsevier BV
ISSN (Print):
03605442
Publication date Created:
December 2018
Publication date (Print):
December 2018
Volume
: 165
Pages
: 1220-1227
Article
DOI:
10.1016/j.energy.2018.10.113
SO-VID:
eebcd629-a130-46de-8f61-b18ee1cf8c22
Copyright ©
© 2018
License:
https://www.elsevier.com/tdm/userlicense/1.0/
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