Table 11 Performance comparison with recent literature.
From: Machine learning algorithms for voltage stability assessment in electrical distribution systems
Method | System | Accuracy (R2) | Real-time capability | Interpretability | Cybersecurity readiness |
|---|---|---|---|---|---|
Proposed GB + SHAP | 53-bus | 99.98% | ✓ | High (SHAP) | Framework Ready |
Deep LSTM24 | 39-bus | 99.1% | ✓ | Low | Not Addressed |
SVM + PSO22 | IEEE 30-bus | 95.2% | ✓ | Medium | Not Addressed |
CNN-LSTM38 | Real grid (NW CN) | 97.8% | ✓ | Low | Partial |
ANN23 | 14-bus | 96% | ✗ | Medium | Not Addressed |
ANN + SVM33 | IEEE 14-bus | N/R | ✗ | Low | Not Addressed |
RF, DT, KNN32 | Micro-grid | RF: 92% | ✓ | Medium (RF) | Not Addressed |
