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2014 (Vol. 6, Issue: 1)
Article Information:

Using Grey Theory to Predict Shanghai Unit GDP Energy Consumption

Weisi Zhang and Hongyan Li
Corresponding Author:  Hongyan Li 

Key words:  GM (1, 1) model, grey model, unit GDP energy consumption, , , ,
Vol. 6 , (1): 7-10
Submitted Accepted Published
November 04, 2013 November 13, 2013 March 20, 2014

Energy consumption per unit of GDP, reflecting the environmental costs of economic development, pointed out the direction for urban construction, environmental protection is our common responsibility. In real life, the impact of energy consumption per unit of GDP is complex and uncertain factors, according to a series of known and unknown information, we can predict the energy consumption per unit of GDP as a grey system, so you can use the grey system theory. Grey model requires only a limited amount of data to estimate the unknown system behavior. In this study, first of all, by using the known data we established GM (1, 1) model, Verhulst model and the DGM (2, 1) model predictive analysis. The results show that GM (1, 1) modelís prediction accuracy is higher than the prediction accuracy of Verhulst model and DGM (2, 1) model. Then, Shanghai next unit GDP energy consumption is predicted by GM (1, 1) model.
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  Cite this Reference:
Weisi Zhang and Hongyan Li, 2014. Using Grey Theory to Predict Shanghai Unit GDP Energy Consumption.  Current Research Journal of Economic Theory, 6(1): 7-10.
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ISSN (Online):  2042-485X
ISSN (Print):   2042-4841
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