Abstract：Power load forecasting power production, scheduling department is one of the most important work, its essence is according to the historical data of the forecasted object establish corresponding mathematical model, described the law of development. So, can make to the electric power load forecasting for reliable directly related to the economic benefits of electric power industry.
In this paper based on the Grey theory and the BP neural network of power load forecasting method, this paper firstly introduces the principle of power load forecast, the origin and current domestic and international power load forecasting the general situation of the field, and introduced the common several power load forecasting method, and the introduction of new power system Grey prediction theory and its corresponding all sorts of model of the basic principles do was briefly discussed in this paper. And then in three different model (Grey GM (1, 1) model, the linear regression model, a right to such as average combination model) to carry on the forecast, and then the predicted as the training sample the neural network training, and training good network load forecasting. Because of the prediction model using the Grey system theory and the BP neural network with the combination of prediction algorithm, drawing on the strengths, to avoid the forecast model of the existing prediction risk.
In Chongqing from a power supply bureau was produced 2007 power load forecasting example can see, a Grey forecast model in the prediction accuracy and stability of the method are the obvious improvement, this algorithm in theory and practice is feasible, and the electric power industry for planning and production operation has certain directive and all applications.
Keywords: Grey theory; The BP neural network; Load forecasting; Precision