The electric power demand forecasting in China based on the Generalized Regression Neural Network (GRNN )

fei Zhao


With the rapid development of economy, the electric power consumption increases year by year in China. Therefore, power demand forecasting plays an important role in ensuring the power supply. According to the effect factors about the power demand in China, we established the electric power demand forecasting index system, which applied the generalized regression neural network principle. After training the network by using the 1996-2010 years’ data, we made a forecast about the power demand during the China’s new Plane. According to the forecast results, it shows that the power demand is still in the further growth during the China’s new Plane, but the growth rate has dropped. Besides, it puts forward some suggestions to meet the power demand for the development in economic society.

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