Short-term load forecasting of regional integrated energy system

Abstract

Based on the theoretical analysis of Elman network, the short-term load forecasting model of regional integrated energy system is established. The structure and parameters of the model are determined through repeated off-line training and experiments. The forecasting accuracy is significantly higher than that of traditional BP network, and the prediction error is less than 3%, which can meet the needs of coordination and scheduling of regional integrated energy system.