Energy Consumption Development Based on Gene Expression Programming model in Hebei Province

Hui-fang CHENG; Jian-li ZHAO; Hai-hua Qing

This paper explorers the causal relationship between energy consumption and economic growth using data of Hebei Province. The study covers the period of 1980 to 2011. We have applied gene expression programming to analyses how they evolved together. Two ways adopted in the forecast, the one is based on the total energy consumption, and the other is based on energy intensity per GDP. Respectively, we build the GEP models for evolution. Two groups of predicted value and the actual value of the data fitting is good. It is found that the model can fit the variation trend of energy consumption and energy intensity per GDP by simulation. The model can reflect the actual status of the energy consumption and economic relations, which can provide scientific basis for policy makers to make a decision. The impact of economic growth and energy consumption is found to be positive.

Select Volume / Issues:

• Volume 6,Issue 5, Sept. 2015

Year:

2015

Type of Publication:

Article

Keywords:

Energy Consumption; Gene Express Programing; Evolution and Analysis

Journal:

IJECCE

Volume:

6

Number:

5

Pages:

577-583

Month:

September