Based on dynamic regression model medium and long-term demand forecast and analysis of China´s electric power

Based on comprehensive analysis of the current methods on medium and long-term prediction of electric power demand, a new model-dynamic regression model is represented to forecast and analyze China´s electricity demands. Combined with time series method and multivariate regression method, this model can be more comprehensive, reasonable to reflect the operational laws and long-term trends of electric economic system. Through applying the software Eviews6.0 to analyze the case, forecasting model is more stable and more accurate than ever. In conclusion, this model is more suitable for forecasting and analyzing the medium and long-term demand trends in China´s electric power.