Load Forecast of Building Integrated Energy System Based on Similar Day Method

Aiming at the demand of coordinated dispatching of cold, heat, electricity and gas energy and the decentralization of cold, heat and electric loads in traditional load forecasting. This paper proposes to use the similar day method combined with artificial neural network for forecasting cold, heat and electric loads. The forecasting results are analyzed from the perspectives of forecasting accuracy and forecasting time to verify the applicability of the proposed method to the forecasting of cold, heat and electric load.