An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting

•A dynamic choice rolling GM (1, 1) (DCRGM (1, 1)) is successfully developed.•Proposed a novel hybrid forecasting model based on MOALO and DCRGM (1, 1).•Small sample and extended versions of the grey model are discussed in this study.•The proposed hybrid model demonstrates higher prediction accuracy...

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Vydáno v:	Applied soft computing Ročník 72; s. 321 - 337
Hlavní autoři:	Wang, Jianzhou, Du, Pei, Lu, Haiyan, Yang, Wendong, Niu, Tong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.11.2018
Témata:	Annual electricity consumption forecasting Hybrid forecasting model Multi-objective ant lion optimization algorithm Multi-objective ant lion optimization algorithm Annual electricity consumption forecasting Hybrid forecasting model
ISSN:	1568-4946, 1872-9681
On-line přístup:	Získat plný text
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