Middle-long Power Load Forecasting Based on Genetic Algorithm

Middle-long forecasting of electric power is the guarantee for the healthy development of the electric industry. In this paper, several forecasting methods are measured by several indexes, and then the entropy method is used to form a comprehensive index to set up the object function of genetic algorithm. Next the genetic algorithm is used to calculate the weight of every forecasting method. At last, we get the final result by adding all the results of every forecasting method. Example in this paper shows that this method will improve the accuracy of middle-long forecasting of electric power and decrease the forecasting risk.