Abstract:In order to improve the efficiency of urban building energy management and achieve energy saving and emission reduction, a building BIM energy consumption prediction algorithm based on wavelet neural network is proposed. This method first establishes a standard building model based on the constraints. Then, based on the principle of simplification, the BIM technology was used to parameterize the building model by using a commercial apartment building as an example. Finally, using BP wavelet neural network to predict the model energy consumption. Simulation results show that the prediction error of the proposed method is within a reasonable range, and its feasibility is verified.