Research on the Prediction of Total City Energy Consumption Based on Grey Prediction Model

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Li, Hao^1 ; Liu, Chang^1 ; Li, Bin^1 ; Miao, Bo^1

China Electric Power Research Institute Co. Ltd., Beijing Electric Vehicle Charging, Battery Swap Engineering and Technology Research Center, Beijing, China^1

关键词: Co-integration analysis;    Economic development;    Economic growths;    Energy consumption datum;    GM (1 , 1);    Grey prediction model;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/4/042018/pdf
DOI  :  10.1088/1755-1315/300/4/042018

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The research on the relationship between City energy consumption and economic development is of important significance in formulating our country's energy policies and economic development strategies. Based on the historical energy consumption data of Beijing, we set about to study the grey prediction model GM (1, 1) and forecast the energy consumption in the coming years of Beijing in the paper. For the energy consumption and economic growth of the developing countries, we make simple study and expectation to the related research on the relationship between energy consumption and economic development by means of predicted energy consumption value and historical GDP in the way of causal and co-integration analysis. We forecast that Beijing's energy consumption can to some extent provide helpful reference for its energy policies and economic development.