A forecasting model for power consumption of high energy-consuming industries based on system dynamics

被引：0
|
作者：
Zhou, Zongchuan [1 ]
Dang, Dongsheng [1 ]
Qi, Caijuan [1 ]
Tian, Hongliang [1 ]
机构：
[1] State Grid Ningxia Elect Power Ecotech Res Inst, Ningxia, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION (EEEP2017) | 2018年 / 121卷
关键词：
D O I：
10.1088/1755-1315/121/5/052030
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
It is of great significance to make accurate forecasting for the power consumption of high energy-consuming industries. A forecasting model for power consumption of high energy-consuming industries based on system dynamics is proposed in this paper. First, several factors that have influence on the development of high energy-consuming industries in recent years are carefully dissected. Next, by analysing the relationship between each factor and power consumption, the system dynamics flow diagram and equations are set up to reflect the relevant relationships among variables. In the end, the validity of the model is verified by forecasting the power consumption of electrolytic aluminium industry in Ningxia according to the proposed model.
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页数：7
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