Shortterm Load Forecasting Method Based on Meteorological Factors Using Stacking Regression Model
Aiming at improving the accuracy of short-term load forecasting,a stacking regression model based on meteor-ological factors is proposed in view of the temporal and nonlinear characteristics of electricity data.Historical daily electric-ity data and meteorological data from a certain region are used as experimental training samples,and various feasible ideas are used for daily rolling forecasting of various models.Through comparative analysis,the Stacking regression model based on meteorological factors is selected as the main prediction algorithm,and similar day adjustment is used as the main coordination algorithm.The experimental results show that the proposed method has higher and more stable predic-tion accuracy than ARIMA model method,multiple regression model method,and autoregressive model method.
万方数据
维普
