Title :
Decomposition Analysis of Industrial Power Demand of China Based on Panel Data Model
Author :
Yong-xiu He ; De-Zhi Li ; Jia-Jia Wei ; Li-fang Yang ; Qi Cai
Author_Institution :
Sch. of Bus. Adm., North China Electr. Power Univ., Beijing
Abstract :
Firstly, the factors influencing industrial electric power demand are analyzed. Secondly, the changing law of power consumption intensity and the character of industrial electric power consumption are studied based on the power consumption and the value of industrial output. Finally, a model of power demand is established based on panel data, in which the influence of policy of saving energy is considered. Compared with other models, it is more valid and it can provide decision making support for the forecasting of industrial electric power demand and policy of saving energy in China.
Keywords :
decision making; demand forecasting; industrial power systems; power consumption; China; decision making support; decomposition analysis; energy saving; industrial electric power consumption; industrial electric power demand forecasting; industrial power demand; panel data model; power consumption intensity; Data models; Economic forecasting; Energy consumption; Energy measurement; Industrial economics; Load forecasting; Power demand; Power generation economics; Power systems; Testing;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.2060
