Research Article

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

Table 3

Metrics of models for fitting in Case 3.

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

199987.187.1087.1087.1087.1087.1087.1087.10
200091.281.9017−10.195580.1035−12.167289.18652.207884.6546−7.177088.45993.004524.3087−73.345789.4691−1.8980
200189.787.9096−1.996086.1203−3.990789.7028−0.003185.8011−4.346689.31570.428430.4944−66.004090.95001.3935
200285.791.51296.782889.86574.860890.2221−5.276686.85981.353490.10605.141237.8939−55.783091.87577.2062
200388.093.74676.530492.30674.894090.7444−3.118687.8376−0.184590.83593.222646.5390−47.114892.45455.0619
200491.695.08663.806393.89032.500391.26970.360688.7406−3.121691.50990.098456.3387−38.494892.81621.3277
200593.895.79642.128494.86531.135791.79812.134289.5745−4.504892.13231.777967.0245−28.545393.0424−0.8077
200692.896.04023.491695.38672.787492.32950.507090.3447−2.645892.70710.100178.1046−15.835593.18370.4135
200796.495.9279−0.489795.5584−0.873192.86403.668091.0559−5.543793.23793.280288.8524−7.829493.2721−3.2447
200896.295.5373−0.688895.4540−0.775593.40172.908991.7127−4.664593.72802.569698.35422.239293.3273−2.9861
200992.994.92562.180495.12782.398193.9424−1.122092.3193−0.625194.18071.3785105.632213.705393.36190.4972
201093.394.13630.896494.62121.416194.4862−1.271492.8795−0.450794.59871.3919109.831117.718293.38340.0894
201194.993.2032−1.788093.9663−0.983895.0332−0.140493.3968−1.584094.98470.0892110.415316.349193.3969−1.5838
201296.492.1533−4.405393.1889−3.331095.58340.847193.8746−2.619895.34121.0984107.307911.315393.4054−3.1065
201393.891.0081−2.976492.3096−1.588996.1367−2.491294.31580.549995.67041.9940100.91137.581393.4107−0.4151
MAPEFIT (%)3.45403.12161.86122.81221.826828.70442.1451
201489.589.78560.319191.34562.062196.6933−8.037294.72325.836095.97447.233992.00102.794493.41394.3731
201588.588.50040.000490.31112.046497.2530−9.890495.09957.457196.25518.762881.5382−7.866593.41605.5548
201689.187.1648−2.172089.21790.132397.8160−9.782395.44707.123596.51438.321470.4734−20.905293.41734.8454
201785.885.7891−0.012788.07612.652898.3823−14.664795.768011.617796.753812.766659.6004−30.535793.41818.8789
201882.884.38221.910886.89444.944998.9519−19.507196.064316.019796.974817.119449.4852−40.235393.418612.8244
MAPEPRE (%)0.88302.367712.37639.610810.840820.46747.2953