Application of self-organizing combination forecasting method in power load forecast

According to the load properties of electric power,four kinds of component forecasting Models ore chosen and a new combination forecasting model based on Self-organizing data mining algorithm is introducted in this paper The forecasted results of each component forcasting models are used as the input of self-organizing data mining algorithm, and the output are the results Of Combination forecasting. In order to verify , the validity and maneuverability of the model, a load forecasting example is given and the result show that this model can improve the forecasting ability remarkably when comparing to optimal combination forecasting, and artificial neural network combination forecasting.