Research Article

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

Table 1

Metrics of models for fitting in Case 1.

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

1999213.7213.70000213.70000213.70000213.70000213.70000213.70000213.70000
2000228.8215.0852−5.9942212.7806−7.0015232.9317−1.8058208.0514−9.0684219.84653.913372.66238−68.2420231.05450.9854
2001234.0243.84934.2091241.19823.0762248.7854−6.3186230.602−1.4522242.33713.562895.60745−59.1421249.2556.5192
2002252.7268.60156.2926265.7265.1547265.7182−5.1516253.03780.1337264.71324.7539124.4687−50.7445268.34286.1903
2003281.3291.44723.6073288.41052.5277283.8034−0.8900275.3594−2.1118286.97552.0176159.8201−43.1852288.36122.5102
2004328.5313.3144−4.6227310.1574−5.5837303.11967.7262297.5674−9.4163309.12445.8982201.6125−38.6263309.3555−5.8279
2005334.3334.70510.1212331.4585−0.8500323.75043.1557319.6625−4.3786331.16070.9391248.7314−25.5963331.3732−0.8755
2006359.2355.928−0.9109352.6165−1.832827345.78553.73456341.6451−4.8872353.08481.7024298.5667−16.8801354.4644−1.3184
2007377.0377.19030.0505373.8355−0.8394369.32022.0371363.5158−3.5767374.89740.5577346.8195−8.0054378.68120.4459
2008384.7398.64143.6240395.26312.7458394.4568−2.5362385.27520.1495396.5993.0931387.84430.8173404.07875.0373
2009400.6420.39554.9415417.01204.0969421.3042−5.1683406.92391.5786418.19014.3909415.71083.7720430.71437.5173
2010455.5442.5437−2.8444439.1731−3.5844449.97891.2121428.4625−5.9358439.67143.4750425.8055−6.5191458.64840.6912
MAPEFIT (%)3.38353.39033.61243.88083.118529.23003.4471
2011472.4465.1620−1.5322461.8220−2.2392480.6053−1.7369449.8914−4.7647461.04332.4040416.3413−11.8668487.94433.2905
2012495.3488.3161−1.4100485.0246−2.0746513.3161−3.6374471.2113−4.8635482.30652.6234388.9955−21.4626518.66844.7180
2013517.3512.0644−1.0121508.8396−1.6355548.2533−5.9836492.4227−4.8091503.46152.6751348.3102−32.6677550.89036.4934
2014539.3536.4604−0.5265533.3208−1.1087585.5684−8.5793513.5262−4.7791524.50882.7427300.1995−44.3354584.68318.4152
2015573.3561.5537−2.0489558.5185−2.5783625.4232−9.0918534.5223−6.7640545.44914.8580250.3389−56.3337620.12338.1673
2016587.0587.39180.0667584.4808−0.4292667.9906−13.7974555.4115−5.3813566.28273.5293203.0806−65.4037657.291211.9747
2017610.7614.02030.5437611.25420.0907713.4552−16.8258576.1944−5.6502587.01043.8791161.089−73.6222696.271114.0120
2018641.2641.48360.0442638.8841−0.3612762.0142−18.8419596.8716−6.9133607.63265.2351125.5214−80.4240737.151314.9643
MAPEPRE (%)0.89811.31479.81185.49063.493348.26459.0044