Research Article

Provincial Grid Investment Scale Forecasting Based on MLR and RBF Neural Network

Table 7

Influencing factors’ value of four classes.

RegionsInfluencing FactorMinMeanMax

Shandong, JiangsuGDP, POP, SEC, EIC, PL7.5%, 0.242%, 3.866%, 4.555%, 4.9%8.00%, 0.426%, 4.067%, 10.543%, 6.25%8.5%, 0.61%, 4.267%, 16.531%, 7.6%

Beijing, Tianjin, Shanghai, Zhejiang, Anhui, Fujian, Hubei, Hunan, Henan, Jiangxi, Shaanxi, Sichuan, ChongqingGDP, POP, SEC, EIC, PL6.50%, 0.3048%, 0.2678%, 1.0478%, 2.33%8.013%, 0.8022%, 5.0321%, 9.4295, 6.8991%9.5%, 1.4775%, 8.2452%, 28.0538%, 13.07%

Shanxi, Liaoning, Jilin, Heilongjiang, Qinghai, NingxiaGDP, POP, SEC, EIC, PL5.6%, -0.1%, 2%, 7.80%, 3.6%6.64%, 0.38%, 5.238%, 11.87%, 5.92%7.5%, 0.9%, 9.3685%, 19.52%, 9.809%

Gansu, XinjiangGDP, POP, SEC, EIC, PL7%, 0.365%, 5.41%, 6.922%, 5.6%7.425%, 1.26%, 8.12%, 8.299%, 8.06%7.85%, 2.156%, 10.82%, 9.676%, 10.52%