Research Article
Short-Term PV Power Forecasting Using a Hybrid TVF-EMD-ELM Strategy
Table 4
Achieved results with different input data for studied models for the Laghouat PV system.
| Input parameters/metrics | RMSE | nRMSE | nMAE | MABE | R (%) |
| PV−1 | 1453.96 | 32.50 | 1117.35 | 24.60 | 87.3 | PV−1–PV−2 | 1363.89 | 30.49 | 880.18 | 18.93 | 89.0 | PV−1–PV−3 | 1357.41 | 30.35 | 866.94 | 18.59 | 89.2 | PV−1–PV−4 | 1368.29 | 30.60 | 871.27 | 18.68 | 89.0 | PV−1–PV−5 | 1354.76 | 30.30 | 871.70 | 18.60 | 89.3 | PV−1–PV−6 | 1395.87 | 31.22 | 885.47 | 18.74 | 88.7 | PV−1–PV−7 | 1361.44 | 30.45 | 88.86 | 18.61 | 89.5 | PV−1–PV−8 | 1381.12 | 30,89 | 891.89 | 18.69 | 89.2 | PV−1–PV−9 | 1367.43 | 30,58 | 896.16 | 18.76 | 89.6 | PV−1–PV−10 | 1346.30 | 30.11 | 898.09 | 18.86 | 89.9 | PV−1–PV−11 | 1313.98 | 29.38 | 910.03 | 19.26 | 90.5 | PV−1–PV−12 | 1293.31 | 28.92 | 911.37 | 19.39 | 90.8 | PV−1–PV−13 | 1255.59 | 28.07 | 921.53 | 19.73 | 91.6 |
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