Abstract:Based on the decision tree and combined with the meteorological factor s and the highest, lowest and average of electrical load, a model was establi shed to measure the influence of meteorological factors on the load. An effectiv e short term forecasting method was put forward to establish the forecasting mo del of daily characteristic load decision tree. Daily characteristic load is forecasted according to the model and the date forecasted information such as wea ther，attributes (date, workday or weekend). The forecasted results show that the proposed method has high automation and high accuracy. The method applies the data of meteorological factors and load of Baoding in Hebei Province to train an d forecast，the results show that the new method can largely improve the precisi on of load forecasts.