Research Article
Provincial Grid Investment Scale Forecasting Based on MLR and RBF Neural Network
Table 4
Coefficients of the 23 provinces.
| | | | | | | | |
| | Beijing | -1.252 | 25.966 | -26.062 | -3.578 | 2.32 | -1.203 | | Shanghai | 0.1 | 1 | -3.998 | -0.507 | -1.198 | 0.783 | | Tianjin | -0.967 | 11.579 | -11.922 | -8.989 | 2.258 | 3.6 | | Shanxi | -0.054 | 5.034 | -30.391 | 1.255 | 0.275 | -1.642 | | Shandong | -0.701 | 9.923 | -20.112 | -1.062 | -0.097 | -0.291 | | Jiangsu | 0.403 | -4.563 | 101.958 | -4.745 | -0.075 | 1.316 | | Zhejiang | 0.053 | 2.067 | -30.981 | 5.087 | 0.746 | -2.936 | | Liaoning | -0.272 | 5.972 | 14.675 | -2.423 | -4.043 | 4.89 | | Anhui | -1.636 | 18.555 | 15.906 | -9.941 | 2.406 | 2.166 | | Fujian | 0.103 | -5.274 | 0.483 | 2.408 | -0.549 | 4.847 | | Hubei | 3.03 | -19.21 | -276.206 | 1.274 | 1.566 | -0.183 | | Hunan | -0.724 | 13.39 | 14.354 | -3.084 | -8.444 | -1.891 | | Henan | -0.588 | 4.556 | 14.016 | -7.029 | 5.462 | 3.526 | | Jiangxi | -0.083 | -4.391 | 58.609 | 7.987 | -0.992 | -3.408 | | Jilin | -0.36 | 9.024 | -98.534 | 1.346 | -3.6 | 0.274 | | Heilongjiang | 0.29 | 4.216 | -51.134 | 2.4 | -3.068 | -5.405 | | Shaanxi | 0.655 | -1.403 | -73.253 | -3.666 | 0.153 | 1.775 | | Sichuan | -1.121 | 9.558 | -40.638 | -0.487 | -0.645 | 4.974 | | Chongqing | 0.308 | -0.944 | -31.873 | 0.698 | 0.825 | 0.24 | | Qinghai | -7.269 | 60.606 | 103.254 | -9.225 | 9.492 | -4.382 | | Ningxia | -0.275 | -4.009 | 91.636 | 1.535 | -0.824 | -1.476 | | Gansu | 1.461 | -9.799 | -85.198 | 1.939 | -1.35 | -0.378 | | Xinjiang | -0.464 | -1.121 | 13.056 | 0.992 | 1.748 | -1.12 |
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