River water temperature prediction using REMD, RLMD, and SVMD coupled with deep learning models
Four deep learning models were used for modelling daily water temperature time series at four rivers stations in Poland, and the smallest RMSE and MAE are obtained for the models using the signal decomposition, whereas the largest errors metrics are achieved by the single DL models.