Research Article

An Optimization Grey Bernoulli Model and Its Application in Forecasting Oil Consumption

Table 4

Metrics of models for fitting in Case 4.

YearRaw dataONGBMAPENGBMAPEGMAPENGMAPETDGMAPEVerhulstAPEAR−GMAPE
(1,1)(%)(1,1)(%)(1,1)(%)(1,1)(%)(1,1)(%)(%)(1,1)(%)

2008208.2061208.20208.20208.20610208.20610208.20610208.20208.20610
2009210.516211.20940.3370207.897−1.2366211.3859−0.4132157.4182−25.2227209.89490.2951159.7675−24.1010215.05052.1540
2010211.032218.33893.4781216.53692.6241213.9545−1.3848187.5574−11.1237215.04681.9024219.77774.1600215.32882.0361
2011224.8901218.4848−2.8525218.4805−2.8544216.55433.7066203.2692−9.6140217.66723.2118241.28577.2858215.3401−4.2465
2012214.6511215.08100.1775216.91671.0325219.1857−2.1125211.4598−1.4868219.00002.0260207.317−3.4387215.34060.3212
MAPEFIT (%)1.71131.93691.904311.86181.85889.74642.1894
2014204.0364209.64522.7672213.26654.5424221.8490−8.7301215.72965.7310219.67797.6660143.8108−29.5045215.34065.5403
2015196.5073202.99623.3059208.30296.0065224.5448−14.2679217.955510.9147220.022711.966785.5894−56.4431215.34069.5840
2016190.96195.62662.4223202.49596.0188227.2733−19.0162219.115914.7444220.198015.311146.3702−75.7224215.340612.7674
2017187.8064187.85370.0286196.15254.4475230.0349−22.4852219.720816.9933220.287217.294923.8493−87.3007215.340614.6610
2018182.3648179.8905−1.3758189.48263.8830232.8301−27.6727220.036120.6571220.332620.819711.9385−93.4548215.340618.0823
MAPEPRE (%)1.98004.979718.434413.808114.611768.485112.1270