Grey Correlation in the Combined Weights of Power Load Forecasting Application

Electric load forecasting on the power system operation and control plan has a very important impact, but the complexity and uncertainties of the load forecasting make the traditional single forecasting model difficult to get accurate results. To improve the accuracy of power load forecasting, this paper constructs a combined forecasting model. It synthesizes grey hierarchical model, the "S" curve model and stepwise regression model forecasting results by using grey correlation as the basis of determining combined weights, the forecasting results are synthesized and coordinated to be more precise and reasonable.