El Ni & ntilde;o/La Ni & ntilde;a events significantly impact human society, often resulting in considerable monetary losses. Accurate prediction has become crucial with triple La Nina events in this century. This study applied TimesNet to El Nino/La Nina event prediction for the first time. We proposed a hybrid prediction method based on extracting features from time series data and initially decomposing the time series data (Nino3.4) into several Intrinsic Mode Functions (IMFs) using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). Based on the characteristic...
