Table 3.
Performance of ML Models for SoE.
| Model Type | SoE |
||||
|---|---|---|---|---|---|
| Overall Accuracy | TP (1) | TP (2) | TP (3) | ||
| ANN | 10-neuron | 81.3% | 24.2% | 97.1% | 63.5% |
| 25-neuron | 81.2% | 26.6% | 96.5% | 63.0% | |
| 100-neuron | 80.9% | 26.6% | 96.2% | 62.6% | |
| RT | Coarse Tree | 81.5% | 22.1% | 97.7% | 64.1% |
| Medium Tree | 81.5% | 22.5% | 97.7% | 63.8% | |
| Fine Tree | 81.1% | 25.9% | 96.7% | 61.5% | |
| Ensembles | Boosted Tree | 81.4% | 22.9% | 97.5% | 64.1% |
| Bagged Tree | 81.2% | 24.6% | 97.1% | 62.3% | |
| Subspace KNN | 75.0% | 23.1% | 90.5% | 51.0% | |
| RUBoosted Trees | 79.0% | 47.1% | 88.5% | 64.7% | |
| SVM | Linear | 79.2% | 0.0% | 99.6% | 64.1% |
| Quadratic | 80.4% | 14.4% | 98.0% | 64.1% | |
| Cubic | 73.9% | 14.4% | 88.9% | 65.1% | |
| Fine Gaussian | 81.0% | 22.7% | 97.4% | 61.5% | |
| Medium Gaussian | 81.4% | 22.2% | 97.8% | 63.3% | |
| Coarse Gaussian | 79.2% | 0.0% | 99.6% | 64.1% | |
| KNN | Fine KNN | 72.0% | 29.2% | 83.5% | 60.4% |
| Medium KNN | 80.5% | 28.1% | 95.2% | 62.8% | |
| Coarse KNN | 80.0% | 8.7% | 99.2% | 61.0% | |
| Cosine KNN | 80.3% | 27.2% | 95.1% | 62.9% | |
| Cubic KNN | 80.5% | 28.0% | 95.2% | 62.8% | |
* TP (1): True Positive for electricity.
⁎⁎ TP (2): True Positive for natural gas.
⁎⁎⁎TP (3): True Positive for heating oil.