Forecasting the non-renewable energy consumption by an adjacent accumulation grey model

被引:62
作者
Zhao, Hongying [1 ,2 ]
Wu Lifeng [1 ]
机构
[1] Hebei Univ Engn, Coll Management Engn & Business, Handan 056038, Peoples R China
[2] Harbin Inst Technol, Sch Management, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Grey forecasting model; Adjacent accumulation; New information priority; Disturbance analysis; SUPPORT VECTOR REGRESSION; PREDICTION MODEL; ELECTRICITY CONSUMPTION; SVR; DECOMPOSITION;
D O I
10.1016/j.jclepro.2020.124113
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper proposes an adjacent accumulation discrete grey model to enhance the prediction accuracy of grey model and improve the utilization of new data. The stability of the proposed model is proved and the new model can obtain higher prediction accuracy through three cases. And it was applied to the prediction of the non-renewable energy consumption in Asia-Pacific Economic Cooperation. It proves that discrete grey model with adjacent accumulation is effective. According to the forecasting results, the oil consumptions in 15 countries have an increasing trend. The coal consumptions of five countries (South Korea, Indonesia, Vietnam, Malaysia and the Philippines) show a clear growth trend and The United States, Canada and Australia all show a downward trend. The consumptions of natural gas in the United States, Mexico, Singapore, China, Vietnam and Peru will all increase. For nuclear energy, China's consumption will increase and South Korea's consumption will decrease. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:11
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