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. 2020 Jul 29;7:101015. doi: 10.1016/j.mex.2020.101015

Table 1.

RMSEs and MAPEs for all methods considering the training and the testing data of the Java-Bali load series in 2014.

Method RMSE
MAPE (%)
Training Testing Training Testing
SSA-LRF 816.94 764.50 3.23 2.88
SSA-LRF-WFTS Chen's 501.22 512.05 1.97 1.90
SSA-LRF-WFTS Yu's 503.27 508.02 1.98 1.92
SSA-LRF-WFTS Cheng's 504.50 502.79 1.94 1.85
SSA-LRF-WFTS Lee's 507.32 522.27 2.00 1.98
SSA-LRF-NN (24-9-1) 149.87 161.66 0.57 0.64
TLSAR* 396.34 430.75 1.53 1.74
TBATS 241.26 318.12 0.85 1.48
DSHW 206.37 1013.01 0.74 4.14
ARIMA(5,0,4)-NN(31-16-1) 94.06 1545.00 0.38 6.76
TLSNN(29-15-1) 101.61 273.46 0.36 1.04

period: 168, number of harmonics: 21, ARIMA(4,1,3).