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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Veröffentlicht in:	Applied soft computing Jg. 72; S. 321 - 337
Hauptverfasser:	Wang, Jianzhou, Du, Pei, Lu, Haiyan, Yang, Wendong, Niu, Tong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2018
Schlagworte:	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
Online-Zugang:	Volltext
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