Model | Dataset | Algorithm | MAE | RMSE | \(R^{2}\) |
---|---|---|---|---|---|
M1 | PV count per HH | XGBoost | 0.038 | 0.003 | 62.2% |
M2 | CATBoost | 0.039 | 0.003 | 57.4% | |
M3 | LightGBM | 0.038 | 0.003 | 60.4% | |
M4 | Random Forest | 0.039 | 0.003 | 60.9% | |
M5 | PV count per HH with energy policy predictors | XGBoost | 0.038 | 0.003 | 68.5% |
M6 | CATBoost | 0.008 | 0.0001 | 66.0% | |
M7 | LightGBM | 0.008 | 0.0001 | 66.8% | |
M8 | Random Forest | 0.009 | 0.001 | 61.8% | |
M9 | PV-to-roof ratio | XGBoost | 0.009 | 0.0002 | 55.7% |
M10 | CATBoost | 0.009 | 0.0002 | 56.0% | |
M11 | LightGBM | 0.009 | 0.0001 | 59.2% | |
M12 | Random Forest | 0.009 | 0.0002 | 56.0% | |
M13 | PV-to-roof ratio with energy policy predictors | XGBoost | 0.008 | 0.0001 | 71.1% |
M14 | CATBoost | 0.008 | 0.0001 | 66.0% | |
M15 | LightGBM | 0.008 | 0.0001 | 66.0% | |
M16 | Random Forest | 0.009 | 0.0001 | 61.8% |