Research on Air Conditioning Load Forecasting Based on BP Neural Network

Inhalt:
In order to solve the scheduling problem of user heating and cooling, the air conditioning load prediction model and nonlinear model of air conditioning load nonlinear model are established, so as to achieve more accurate prediction results and strengthen the collaborative optimization of integrated energy system. Then the advantages and disadvantages of traditional methods and neural network are compared, and the methods of improving prediction accuracy are analyzed.