Prediction of Regional Electricity Consumption Based on WPA-Prophet Model
In order to obtain a more accurate electricity consumption prediction model,Wolf Pack Algorithm(WPA)is used to optimize key parameters of the Prophet model,and an optimized electricity consumption prediction model is built based on WPA.The experimental data is the daily electricity consumption of Victoria,Australia from 2015 to 2019.The data of first four years are used as the test set,and the accuracy of the prediction results is verified in the last year.The evaluation indexes of the prediction results are Root-Mean-Square Error and Mean Absolute Percentage Error.The experimental results show that the prediction accuracy of Prophet model optimized by WPA algorithm has been effectively improved,which provides a reference for improving the prediction accuracy of regional electricity consumption.
Prophet modelWolf Pack Algorithmelectricity consumption predictiontime series
国家科技期刊平台
NSTL
万方数据
