Medium-long Term Power Load Forecasting Based on Recursive Right Combination Model

For solving the problem that a single model can not take full advantage of data information and consider internal law of data fully,a recursive right combination forecasting model was proposed in the paper.The single model selection in recursive right combination forecasting model can be achieved through the gray correlation analysis,and the weights of the single model can be also solved through recursive right method,which can effectively considering the variation of predict quality of the single models.Finally,the forecast deviations of the recursive right combination forecasting model and the single models are compared through a prediction of maximum load for a region.The results indicated that recursive right combination forecasting model has lower error than the single models,and can effectively improve the power system load forecasting capability,accuracy and reliability.