Table 3.

RMSEs and MAPEs for all methods considering the training and the testing data of the Java-Bali load series in 2016.

Method	RMSE		MAPE (%)
	Training	Testing	Training	Testing
SSA-LRF	703.72	447.30	2.83	1.74
SSA-LRF-WFTS Chen's	247.55	179.44	0.96	0.69
SSA-LRF-WFTS Yu's	255.27	189.57	1.02	0.75
SSA-LRF-WFTS Cheng's	226.94	172.03	0.87	0.63
SSA-LRF-WFTS Lee's	266.94	211.28	1.08	0.81
SSA-LRF- NN 18-10-1	152.71	129.90	0.55	0.50
TLSAR*	343.83	385.98	1.29	1.41
TBATS	225.29	293.72	0.77	0.96
DSHW	151.85	191.00	0.53	0.69
ARIMA(5,0,4)-NN(31,16-1)	81.22	1770.05	0.28	6.61
TLSNN(31-16-1)	93.13	366.06	032	1.43

^⁎period: 168, number of harmonics: 21, ARIMA(4,1,4).