Research Article
Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms
Table 10
Comparison with existing hybrid algorithms.
| | Period | Actual | TF--SVR-SA | CGASA | S-CGASA | FA-MA | S-FA-MA |
| | Oct.08 | 181.07 | 184.5035 | 177.3 | 175.6385 | 175.9047 | 178.2513 | | Nov.08 | 180.56 | 190.3608 | 177.4428 | 185.21 | 184.5484 | 184.2637 | | Dec.08 | 189.03 | 202.9795 | 177.5848 | 189.907 | 195.4447 | 188.9679 | | Jan.09 | 182.07 | 195.7532 | 177.7263 | 181.9693 | 185.5828 | 181.7957 | | Feb.09 | 167.35 | 167.5795 | 177.8673 | 163.2805 | 161.4537 | 161.9352 | | Mar.09 | 189.3 | 185.9358 | 178.0078 | 182.1747 | 184.854 | 181.9227 | | Apr.09 | 175.84 | 180.1648 | 178.6806 | 177.6289 | 177.2037 | 176.1128 |
| | MAPE (%) | | 3.799 | 3.731 | 1.901 | 2.433 | 1.583 | | MASE | | 0.576 | 0.554 | 0.237 | 0.326 | 0.217 | | DA (%) | | 83.333 | 33.333 | 83.333 | 83.333 | 83.333 |
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