Table 2.

Prediction results of all the models.

Case	Model	MAE	RMSE	MAPE (%)	WIA
Case 1	① SED-DDP-TVFEMD-ConvLSTM	1.5068	2.0332	0.7209	0.9866
	② SED-DDP-TVFEMD-LSTM	2.1629	3.2654	1.0444	0.9657
	③ SED-DDP-ConvLSTM	1.9021	2.5782	0.8985	0.9808
	④ SED-DDP-LSTM	2.6234	3.3312	1.2542	0.9633
	⑤ SED-ConvLSTM	2.4902	3.0527	1.1908	0.9694
	⑥ ConvLSTM	2.2587	2.9644	1.0568	0.9705
	⑦ SVR	5.9349	6.9635	2.7454	0.8268
	⑧ ARIMA	9.3035	11.6494	4.4684	0.2080
Case 2	① SED-DDP-TVFEMD-ConvLSTM	1.8607	2.4502	0.8872	0.9796
	② SED-DDP-TVFEMD-LSTM	2.3514	3.0941	1.1289	0.9667
	③ SED-DDP-ConvLSTM	3.1509	4.0562	1.5147	0.9495
	④ SED-DDP-LSTM	3.4039	4.2216	1.6074	0.9327
	⑤ SED-ConvLSTM	4.1079	5.3361	1.9730	0.9097
	⑥ ConvLSTM	3.7394	4.4973	1.7763	0.9292
	⑦ SVR	9.1966	10.3618	4.3166	0.6704
	⑧ ARIMA	9.1321	10.9896	4.3730	0.3980

The best results are bold.