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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Bibliographic Details

Published in:	Applied soft computing Vol. 72; pp. 321 - 337
Main Authors:	Wang, Jianzhou, Du, Pei, Lu, Haiyan, Yang, Wendong, Niu, Tong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2018
Subjects:	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 Access:	Get full text
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