The Combination Forecasting Model for Power Load Based on Evidential Theory

The combination forecasting is the trend of practical load forecast. However, its weight is relatively difficult to set. DS theory can choose optimal combined weights according to historical prediction results and avoid the subjective influence which has great significance. By analyzing historical errors of the signal model and ruling the homologous basic belief degree function, the combined weights are fetched after fusion. The results of simulation demonstrate that the combination load forecasting based on evidential theory have higher accuracy.