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. 2023 Jul 22;26(8):107456. doi: 10.1016/j.isci.2023.107456

Table 2.

Performance evaluation of CDbARNN on different lengths of input load series

Input length Evaluation metric Forecasting method Scenario 1
Scenario 2
I II III I I III
30 NMAE (%) ARNN 4.89 3.48 5.06 14.76 16.39 20.00
CDbARNNwNNO 4.78 3.35 4.99 14.57 16.32 19.64
CDbARNN 4.66 3.34 4.94 14.42 16.27 19.63
NRMSE (%) ARNN 7.83 4.80 6.90 18.73 20.16 24.30
CDbARNNwNNO 7.39 4.67 6.81 18.46 20.12 23.92
CDbARNN 7.26 4.65 6.78 18.30 20.02 23.75
MAPE (%) ARNN 13.31 10.47 14.36 59.98 75.04 80.49
CDbARNNwNNO 12.97 10.19 14.24 58.46 74.31 78.80
CDbARNN 12.49 10.12 14.19 56.43 73.81 78.68
IA ARNN 0.95 0.97 0.96 0.68 0.57 0.39
CDbARNNwNNO 0.95 0.99 0.96 0.69 0.58 0.40
CDbARNN 0.96 0.99 0.97 0.69 0.59 0.42
20 NMAE (%) ARNN 4.75 3.46 4.82 14.51 16.42 19.82
CDbARNNwNNO 4.64 3.38 4.59 14.31 15.98 19.76
CDbARNN 4.54 3.35 4.58 14.03 15.89 19.69
NRMSE (%) ARNN 7.58 4.75 6.71 18.42 20.20 24.16
CDbARNNwNNO 7.25 4.70 6.50 18.05 19.64 24.06
CDbARNN 7.21 4.63 6.40 17.75 19.48 23.94
MAPE (%) ARNN 12.61 10.47 13.59 55.69 72.12 77.01
CDbARNNwNNO 12.30 10.24 13.07 55.06 70.13 76.96
CDbARNN 12.14 10.22 12.79 53.69 66.86 74.85
IA ARNN 0.95 0.99 0.96 0.68 0.57 0.38
CDbARNNwNNO 0.96 0.99 0.97 0.70 0.59 0.40
CDbARNN 0.96 0.99 0.97 0.71 0.60 0.41
10 NMAE (%) ARNN 4.49 3.18 4.48 15.28 16.93 20.33
CDbARNNwNNO 4.46 3.15 4.43 14.68 16.81 20.18
CDbARNN 4.37 3.14 4.42 14.59 16.56 19.71
NRMSE (%) ARNN 7.15 4.55 6.40 19.58 20.97 24.92
CDbARNNwNNO 7.14 4.53 6.34 18.57 20.83 24.75
CDbARNN 6.97 4.49 6.31 18.55 20.37 24.26
MAPE (%) ARNN 11.98 9.52 12.56 55.47 69.77 75.60
CDbARNNwNNO 11.81 9.44 12.47 54.79 69.52 74.58
CDbARNN 11.58 9.31 12.46 54.57 69.37 70.76
IA ARNN 0.96 0.99 0.96 0.66 0.56 0.42
CDbARNNwNNO 0.96 0.99 0.97 0.69 0.57 0.43
CDbARNN 0.97 0.99 0.97 0.70 0.59 0.45