Research Article
Electricity Demand Projection Using a Path-Coefficient Analysis and BAG-SA Approach: A Case Study of China
Table 4
Comparison of results from various electricity demand estimation models.
| Models | Optimization algorithms | | MAPE of training set | MAPE of testing set |
| Multiple linear | GA | 0.9871 | 7.0871% | 2.9348% | PSO | 0.9908 | 6.3245% | 2.5802% | BA | 0.9929 | 5.9254% | 2.3702% | BAG-SA | 0.9943 | 5.1729% | 1.9288% |
| Quadratic | GA | 0.9883 | 6.6950% | 2.7215% | PSO | 0.9915 | 6.1841% | 2.5241% | BA | 0.9940 | 5.6614% | 2.2646% | BAG-SA | 0.9985 | 2.7883% | 1.1772% |
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