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

Table 5

The average forecasting errors of 23 provinces power grid investment.

Number	Provinces	Grey model	MLR model average error	MLR-RBF average error
1	Beijing	32.28%	8.74%
2	Tianjin	35.96%	0.11%
3	Shanxi	28.92%	12.04%
4	Shandong	25.40%	10.77%
5	Shanghai	17.61%	12.34%
6	Jiangsu	13.01%	12.94%
7	Zhejiang	19.87%	18.36%
8	Liaoning	33.60%	17.98%
9	Anhui	30.90%	8.00%
10	Fujian	15.48	16.54%
11	Hubei		17.79%	17.77%
12	Hunan	37.17%	23.52%
13	Henan	17.08%	16.35%
14	Jiangxi	10.77%	7.83%
15	Jilin		25.21%	24.89%
16	Heilongjiang	43.68%	24.36%
17	Shaanxi	21.56%	18.96%
18	Sichuan	41.81%	22.03%
19	Chongqing		23.64%	23.39%
20	Qinghai	45.26%	21.21%
21	Ningxia		23.73%	23.36%
22	Gansu	57.53%	24.27%
23	Xinjiang	16.58%	13.39%