Research Article
Missing Data Reconstruction Based on Spectral k-Support Norm Minimization for NB-IoT Data
Table 2
Performance evaluation for four methods by average MAPE and RMSE on the COD and total nitrogen datasets (unit: mg/L) with RMP.
| Dataset | Missing rate | DRAWNNM | HaLRTC | ADMAR | Proposed method | MAPE | RMSE | MAPE | RMSE | MAPE | RMSE | MAPE | RMSE |
| COD | α = 10% | 15.745 | 38.475 | 16.701 | 39.421 | 16.945 | 39.584 | 14.546 | 38.491 | α = 20% | 42.608 | 85.270 | 43.624 | 88.130 | 43.123 | 94.220 | 40.964 | 85.560 | α = 40% | 99.641 | 189.678 | 91.248 | 195.781 | 90.478 | 198.657 | 88.735 | 188.953 |
| Total nitrogen | α = 10% | 6.175 | 45.285 | 7.930 | 48.698 | 7.270 | 52.357 | 6.190 | 45.025 | α = 20% | 27.457 | 89.324 | 28.907 | 93.234 | 29.098 | 94.876 | 26.896 | 87.324 | α = 40% | 86.323 | 175.239 | 88.680 | 168.853 | 89.510 | 158.680 | 80.764 | 155.381 |
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