Energy Injection Identification on REDD Synthetic PV Injection House 1
99.84AccuracyDualNILM
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| DualNILMevaluation_protocol=Cross-validation2025.08 | 99.84 | 96.26 | 97.11 | 96.64 | |
| UNetNILMevaluation_protocol=Cross-validation2025.08 | 99.05 | 76.11 | 85.22 | 75.27 | |
| CNN-LSTMevaluation_protocol=Cross-validation2025.08 | 98.67 | 46.32 | 50.75 | 47.96 | |
| XGBoostevaluation_protocol=Cross-validation2025.08 | 97.9 | 74.5 | 88.74 | 79.18 | |
| Seq2Pointevaluation_protocol=Cross-validation2025.08 | 97.65 | 42.2 | 56.42 | 46.07 | |
| Transformerevaluation_protocol=Cross-validation2025.08 | 95.99 | 56.08 | 54.1 | 53.42 | |
| FHMMevaluation_protocol=Cross-validation2025.08 | 79.52 | 1.46 | 13.47 | 2.07 |