Table 4.

RMSEs and MAPEs for all methods considering the training and the testing data of Bawen load time series.

Method	RMSE		MAPE (%)
	Training	Testing	Training	Testing
SSA-LRF	0.39	0.58	2.61	2.86
SSA-LRF-WFTS Chen's	0.30	0.27	0.97	0.66
SSA-LRF-WFTS Yu's	0.30	0.28	1.02	0.78
SSA-LRF-WFTS Cheng's	0.30	0.27	1.00	0.70
SSA-LRF-WFTS Lee's	0.30	0.29	1.10	0.95
SSA-LRF-NN(48-10-1)	0.10	0.10	0.37	0.32
TLSAR*	0.35	0.32	1.12	1.20
TBATS	0.27	0.39	0.79	1.71
DSHW	0.30	0.48	0.68	2.09
ARIMA(2,1,2)-NN(30-16-1)	0.07	0.73	0.19	3.07
TLSNN(20-10-1)	0.18	0.26	0.57	0.86

^⁎period: 336, number of harmonics: 14, ARIMA(3,0,4) with zero mean.