Load trajectory shape similarity modeling on ASU Load (real workload)
1.278DTW DistanceOurs (Data-calibrated Physics)
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Ours (Data-calibrated Physics)Calibration status=Data-calibrated, Framework=Pattern-Consistent Calibration2026.02 | 1.278 | 0.981 | 0.999 | |
| RNNModel Type=Recurrent Neural Network2026.02 | 14.902 | 0.962 | 0.998 | |
| Physics-based (Uncalibrated)Calibration status=Uncalibrated2026.02 | 17.928 | 0.2 | 0.987 | |
| HMMModel Type=Hidden Markov Model2026.02 | 31.068 | 0.232 | 0.998 |