Model performance evaluation for the different case studies in terms of root mean squared error, maximum absolute error and mean absolute error for the downstream sewer wastewater temperature
| Case study . | Model type . | RMSE (°C) . | MAE (°C) . | MeAE (°C) . |
|---|---|---|---|---|
| Linköping Dataset1 | Mechanistic model | 0.33 | 2.30 | 0.22 |
| Conceptual model | 0.32 | 2.43 | 0.15 | |
| Linköping Dataset2 | Mechanistic model | 0.28 | 1.11 | 0.21 |
| Conceptual model | 0.20 | 0.94 | 0.16 | |
| Malmö | Mechanistic model | 0.40 | 1.16 | 0.31 |
| Conceptual model | 0.44 | 1.30 | 0.34 |
| Case study . | Model type . | RMSE (°C) . | MAE (°C) . | MeAE (°C) . |
|---|---|---|---|---|
| Linköping Dataset1 | Mechanistic model | 0.33 | 2.30 | 0.22 |
| Conceptual model | 0.32 | 2.43 | 0.15 | |
| Linköping Dataset2 | Mechanistic model | 0.28 | 1.11 | 0.21 |
| Conceptual model | 0.20 | 0.94 | 0.16 | |
| Malmö | Mechanistic model | 0.40 | 1.16 | 0.31 |
| Conceptual model | 0.44 | 1.30 | 0.34 |