Table 8. Summary of results of evaluation metrics with deep autoencoder.

Evaluation metrics	DAE-LSTM	DAE-LSTMSA	DAE-GRU	DAE-GRUSA
RMSE	1.03	1.02	0.97	0.95
MAE	0.7159	0.6884	0.6741	0.6470
MAPE	1.2936	1.1640	1.1310	1.09
R2	0.9792	0.9797	0.9825	0.9850