In this study, we investigated the optimal machine learning algorithm for predicting the air conditioning load of an office building. Predictions were made by the Gradient Boosting Decision Tree (GBDT), Deep Neural Network (DNN), Long Short Term Memory (LSTM), Last Query Transformer RNN (LQT) using air conditioning load and meteorological data for about two years.
