Multi Factor Load Forecasting of Integrated Energy System Based on WHO-AGRU-MTL
In order to further improve the accuracy of IES short-term load forecasting,a Integrated Energy System short-term load forecasting model based on the Wild Horse Optimization Algorithm(WHO-AGRU)was proposed for IES'electricity,cooling,and heating loads.Among them,the attention based Gated Recurrent Unit(AGRU)can extract the coupling and periodic characteristics hidden in IES load data from multiple time dimensions.Compared with other prediction models,the calculation results show that the model proposed in this study has higher prediction accuracy in short-term multi load forecasting performance of electricity,heating,and cooling.The average RMSE is reduced by 69.93％,MAPE is reduced by 62.10％,and the average model time is shortened by 37.95％.
integrated energy systemmultivariate load forecastingWHO-AGRUMTLprediction accuracy
万方数据
维普
