Research on air conditioning load prediction based on LSTM neural network

Accurate prediction of air conditioning load is important for developing demand-side response as air conditioning load is increasingly higher. An LSTM-based prediction model for air conditioning load was constructed and compared to the conventional BP model. The ARIMA model, which was found to have higher prediction accuracy, suggests that the model is more generalized and of great value for application.