Research Article

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

Table 2

The descriptive statistics of clustering indexes’ values.

VariableUnitNMeanStDevMinMax

GDPBillion Yuan692299.8821566.55230.3326518.832
POPTen thousand694413.3912636.9495839789
FIBillion Yuan691424.5461090.764286.134249.55
SECGWh69172514.94115942.0166781501254
PLGW6926.4118.428.9982.06
UL%6958.1712.9141.6889.58
RPS%6999.9690.01399.92999.988
EAF%6991.16715.46860100
ICS%6999.9030.12399.58100
RQV%6999.9910.00699.97699.997
CLLR%696.4721.5453.089.45
RFNTMinute692.20.3505
REGGWh696516.3918479.61166340114
EICMW693744.1433859.259216.215278.2
EVOThousand6938.56149.5510.5175