Research Article
Swarm Intelligence-Based Hybrid Models for Short-Term Power Load Prediction
Table 1
Statistical error measures’ comparison between different models.
| Model | MAPE (%) | MAE | Case 1 | Case 2 | Case 1 | Case 2 |
| SARIMA | 4.22 | 6.87 | 344.32 | 613.62 | SSA-SARIMA | 2.37 | 4.60 | 190.68 | 404.10 | PSO-SSA-SARIMA | 2.37 | 4.47 | 190.79 | 392.06 | CS-SSA-SARIMA | 1.38 | 3.82 | 113.72 | 333.12 | SVR | 8.75 | 6.64 | 734.83 | 580.10 | SSA-SVR | 5.53 | 5.76 | 451.26 | 516.21 | PSO-SSA-SVR | 4.96 | 4.68 | 404.26 | 392.42 | CS-SSA-SVR | 3.42 | 3.73 | 278.86 | 305.88 |
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