Building air conditioning load prediction model based on support vector machine

Based on the theory of support vector machine (SVM), establishes a prediction model for building air conditioning load. An SVM model and back-propagation （BP） neural network model are both used for the hourly air conditioning load prediction of an office building in  summer months in Guangzhou area. The simulation results show that the SVM model shows better accuracy and generalization ability, and is effective for building air conditioning load prediction.