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

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...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2018-02, Vol.121 (5), p.52030
Main Authors: Zhou, Zongchuan, Dang, Dongsheng, Qi, Caijuan, Tian, Hongliang
Format: Article
Language:English
Subjects:
Aluminum
Energy
Energy consumption
Forecasting
Mathematical models
Metal industry
Power consumption
System dynamics
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Summary: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.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/121/5/052030