Research Article

Geometrical Variable Weights Buffer GM(1,1) Model and Its Application in Forecasting of China’s Energy Consumption

Table 1

In-sample comparisons among the GVGM, GAGM, and GM models.

Time Actual value GVGM(1,1)GAGM(1,1)GM(1,1)
Fitting valueRelative error (%)Fitting valueRelative error (%)Fitting valueRelative error (%)

20021594.311841.4315.52211.0938.691594.310.00
20031837.922114.2415.032450.3933.321974.707.44
20042134.562246.205.232551.4419.532135.960.07
20052359.972386.401.122656.6712.572310.392.10
20062586.762535.341.992766.236.942499.063.39
20072805.082693.593.972880.312.682703.153.63
20082914.482861.711.812999.102.902923.890.32
20093066.473040.320.853122.791.843162.673.14

MRE (%)5.6914.812.51

The degree of Grey incidence0.7330.6910.628