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Applications of empirical wavelet decomposition, statistical feature extraction, and antlion algorithm with support vector regression for resident electricity consumption forecasting

Crossref DOI link: https://doi.org/10.1007/s11071-023-08922-9

Published Online: 2023-10-08

Published Print: 2023-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Fan, Guo-Feng

Zhang, Ruo-Tong

Cao, Cen-Cen

Yeh, Yi-Hsuan

Hong, Wei-Chiang https://orcid.org/0000-0002-3001-2921
Funding

Funding for this research was provided by:

Science and Technology of Henan Province of China (No. 182400410419)

Foundation for Fostering the National Foundation of Pingdingshan University (No. PXY-PYJJ-2016006)

National Science and Technology Council of Taiwan (MOST 111-2410-H-161-001)
License Information

Text and Data Mining valid from 2023-10-08

Version of Record valid from 2023-10-08
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Article History

Received: 10 February 2023

Accepted: 6 September 2023

First Online: 8 October 2023

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

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