Implementation of deep learning methods in prediction of adsorption processes

•The artificial intelligence approach for modeling adsorption processes in adsorption cooling and desalination systems with fluidized adsorption beds is presented.•The prediction performance of four predictive methods is compared.•The proposed model shows forecast skill score in a range of about 97%–99%.•GRU method has high accuracy and shortest computation time.