Integration of Grey Model and Multiple Regression Model to Predict Energy Consumption

Forecasting of energy consumption has always been an essential part of energy planning and policy. This paper presents grey model (GM), multiple regression model (MRM) and the integration model of grey model and multiple regression model (IGMMRM) to forecast the number and trend of energy consumption in Zhejiang. The three prediction models established are the highly accurate forecasting, but the combination model was found to be the best model which can overcome some defects of single model such as GM and MRM when mining information. Using IGMMRM, energy consumption of Zhejiang will be almost 0.19 billion tons coal equivalent in 2010 and over 0.3 billion tons coal equivalent in 2015, respectively. It is urgent that level of sustainable utilization for energy should be further improved in Zhejiang.

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