Medium-Long Power Load Forecasting Based on Improved Grey BP Model

The power load forecasting precision being influenced by many factors, the traditional forecasting tools are not very taking the role. In fact, BP network has the characteristics of the applicable and self-learning, and grey method has the growth characteristics,this paper used the correcting coefficient to improved the grey method, so the grey BP network method can better reflect the increasing and non-linearity character than traditional grey BP method. The minimal variance method was used as the making of combination weight, through the advantages of the two methods, we can meet the high precision for the forecasting, and the whole forecasting results have greatly improved to conventional methods, above all, this method can be better using in medium and long term power load forecasting.