Table 5.

Model generalization ability.

Errors	LSTM	SVM	SSA-BP	Sine-SSA-BP
MSE(10,000)	$9.0857\times {10}^{-4}$	$1.5904\times {10}^{-3}$	$1.9600\times {10}^{-5}$	$1.9600\times {10}^{-5}$
RMSE(10,000)	$3.0142\times {10}^{-2}$	$3.9879\times {10}^{-2}$	$4.4272\times {10}^{-3}$	$4.4272\times {10}^{-3}$
MSE(6444)	$1.9602\times {10}^{-4}$	$1.0467\times {10}^{-3}$	$3.1066\times {10}^{-5}$	$3.1066\times {10}^{-5}$
RMSE(6444)	$1.4001\times {10}^{-2}$	$3.2352\times {10}^{-2}$	$5.5737\times {10}^{-3}$	$5.5737\times {10}^{-3}$
MAE(10,000)	$1.7117\times {10}^{-2}$	$3.6335\times {10}^{-2}$	$3.4079\times {10}^{-3}$	$3.4079\times {10}^{-3}$
MAPE(10,000)	$1.5128\times {10}^{-4}$	$3.2037\times {10}^{-4}$	$3.0058\times {10}^{-5}$	$3.0058\times {10}^{-5}$
MAE(6444)	$6.5692\times {10}^{-3}$	$2.7724\times {10}^{-2}$	$5.3029\times {10}^{-3}$	$5.3029\times {10}^{-3}$
MAPE(6444)	$6.1419\times {10}^{-5}$	$2.5925\times {10}^{-4}$	$4.9617\times {10}^{-5}$	$4.9617\times {10}^{-5}$