Abstract: This paper introduces a method of electric energy prediction for building air conditioning.The airconditioning electric energy accounts for more than 50% of the total energy consumption of buildings,and the prediction of air-conditioning electric energy is beneficial to the installed capacity prediction of renewable energy and the load prediction of power system.In this paper,genetic algorithm is used to search the optimal hyperparameters of Seq2Seq model and generate the output sequence.In this research,it is confirmed that GA-Seq2Seq model has excellent performance in MAE,RMSE,R~2 and other indicators by comparing with the existing common forecasting methods.The hyperparameter and classification label setting effects of GA-Seq2Seq model are also studied.