Application of Genetic Algorithm Weighted Exponential Grey Model
Due to the poor accuracy of the traditional gray model and exponential smoothing model in predicting electricity consumption,a short-term forecast of the total electricity consumption in Jian-gxi province was conducted.Data on the electricity consumption of the whole society in Jiangxi prov-ince from 2000 to 2022 were obtained from the official statistical yearbook website,and then the gray model and the exponential smoothing model were weighted by genetic algorithm to determine the weighted combination,resulting in the weighted exponential smoothing gray model.The results show that compared with other single models and traditional combination models,the proposed method has more accurate prediction results with a smaller average relative error and higher prediction accuracy.This method provides a more reliable reference for electricity consumption prediction and is of great significance for electricity consumption management and planning.
万方数据
维普
