DocumentCode :
2912801
Title :
Grey prediction on China’s energy consumption and production
Author :
Ma, Hong-Wei ; Ma, Kai-Ping ; Zhang, Dong-Qing
Author_Institution :
Nanjing Agric. Univ., Nanjing
fYear :
2007
fDate :
18-20 Nov. 2007
Firstpage :
663
Lastpage :
667
Abstract :
The rapid economic growth in China results in the fast energy consumption and production. The dynamic GM(1,N) model of grey theory is used to develop the dynamic GM(1, N) model to forecast the final energy consumption and production in China. In order to improve the forecast accuracy, the original GM(1, N) models are improved by using two methodologies of equal dimension replenishment and residual modification. We analyze the data of total consumption and production of energy and its composition from 1996 to 2005 in China, and forecast China´s energy consumption and production by this grey forecasting model, which shows that the improved grey forecasting model is of more reliability and higher forecast accuracy than GM (1, N).The forecast results indicate that China´s final energy consumption and production will increase rapidly in the period of 2006 to 2015.
Keywords :
differential equations; economic forecasting; energy consumption; grey systems; macroeconomics; China economic growth; China energy consumption; China energy production; differential equations; equal dimension replenishment; grey forecasting model; grey prediction; grey theory dynamic model; residual modification; Data analysis; Differential equations; Economic forecasting; Energy consumption; Intelligent systems; Load forecasting; Mathematical model; Power generation economics; Predictive models; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1294-5
Electronic_ISBN :
978-1-4244-1294-5
Type :
conf
DOI :
10.1109/GSIS.2007.4443357
Filename :
4443357
Link To Document :
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