Accurate prediction of air conditionerâ€™s dynamic operation is very important for advanced control and fault diagnosis method. The prediction of vehicle air conditionersâ€™ performance faces many challenges like unstable working conditions and frequent â€œon-offâ€ operation. This research proposes a long short-term memory (LSTM) recurrent neural network-based method to tackle this tricky issue. The proposed model is trained and tested with field operation data to prove its capability.
Keywords Dynamic performance prediction, Recurrent neural network, Deep learning