Improving Forecasting Accuracy of Daily Enterprise Electricity Consumption Using a Random Forest Based on Ensemble Empirical Mode Decomposition

AuthID
 P-00P-VFF
5
Author(s)
Ao, WG
·
Yang, S
·
Bai, Y
Document Type
Article
Year published
2018
Published
in ENERGY, ISSN: 0360-5442
Volume: 165, Pages: 1220-1227 (8)
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Scopus®
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Publication Identifiers
SCOPUS: 2-s2.0-85055974537
Wos: WOS:000453112200012
Source Identifiers
ISSN: 0360-5442
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