Research Article

A Multivariate Grey Prediction Model Using Neural Networks with Application to Carbon Dioxide Emissions Forecasting

Table 2

MAPE (%) obtained by different MGPMs for carbon dioxide emissions in China.

YearActualGM (1, N)TNGM (1, N)OGM (1, N)TDVGM (1, N)ARIMAThe proposed MGPM
PredictedAPEPredictedAPEPredictedAPEPredictedAPEPredictedAPEPredictedAPE

20055357.75357.70.005357.70.005357.70.005435.91.325357.710.005357.70.00
20065912.05007.915.295869.30.725912.10.005786.92.125916.890.085919.40.13
20076468.36941.37.316478.30.156467.70.016160.34.766437.240.486850.55.91
20086608.16753.82.206495.61.706609.70.026551.90.856919.374.716739.01.98
20097025.87003.80.317083.00.817023.30.046962.30.907366.094.847026.60.01
20107706.77651.50.727703.00.057709.30.037390.94.107779.980.957556.91.94
20118465.68429.10.438255.02.498464.00.027838.37.418163.483.578186.03.30
20128620.68660.70.478665.30.528621.10.018303.93.678518.801.188582.90.44
MAPE3.340.810.023.141.981.71
20138995.89039.70.499011.60.189080.80.948788.22.318848.021.648990.60.06
20149036.59248.22.349270.52.599282.22.729290.32.819153.051.299242.62.28
20159040.79342.83.349452.74.569419.14.199809.98.519435.684.379335.23.26
MAPE2.062.442.624.542.431.87