Research Article
Provincial Grid Investment Scale Forecasting Based on MLR and RBF Neural Network
Table 2
The descriptive statistics of clustering indexes’ values.
| Variable | Unit | N | Mean | StDev | Min | Max |
| GDP | Billion Yuan | 69 | 2299.882 | 1566.55 | 230.332 | 6518.832 | POP | Ten thousand | 69 | 4413.391 | 2636.949 | 583 | 9789 | FI | Billion Yuan | 69 | 1424.546 | 1090.764 | 286.13 | 4249.55 | SEC | GWh | 69 | 172514.94 | 115942.01 | 66781 | 501254 | PL | GW | 69 | 26.41 | 18.42 | 8.99 | 82.06 | UL | % | 69 | 58.17 | 12.91 | 41.68 | 89.58 | RPS | % | 69 | 99.969 | 0.013 | 99.929 | 99.988 | EAF | % | 69 | 91.167 | 15.468 | 60 | 100 | ICS | % | 69 | 99.903 | 0.123 | 99.58 | 100 | RQV | % | 69 | 99.991 | 0.006 | 99.976 | 99.997 | CLLR | % | 69 | 6.472 | 1.545 | 3.08 | 9.45 | RFNT | Minute | 69 | 2.2 | 0.35 | 0 | 5 | REG | GWh | 69 | 6516.391 | 8479.611 | 663 | 40114 | EIC | MW | 69 | 3744.143 | 3859.259 | 216.2 | 15278.2 | EVO | Thousand | 69 | 38.561 | 49.551 | 0.5 | 175 |
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