Load trajectory shape similarity modeling on MIT Load real workload 34
1.095DTW DistanceOurs (Data-calibrated Physics)
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Ours (Data-calibrated Physics)Calibration status=Data-calibrated, Framework=Pattern-Consistent Calibration2026.02 | 1.095 | 0.524 | 0.996 | |
| HMMModel Type=Hidden Markov Model2026.02 | 1.407 | -0.067 | 0.994 | |
| RNNModel Type=Recurrent Neural Network2026.02 | 2.062 | -0.302 | 0.828 | |
| Physics-based (Uncalibrated)Calibration status=Uncalibrated2026.02 | 2.668 | -0.179 | 0.888 |