Research Article

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

Table 4

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

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

2005253.64253.640.00253.640.00253.640.00250.181.36253.640.00253.640.00
2006260.86220.2415.57260.330.20260.380.18250.793.86255.911.90261.360.19
2007263.94270.582.52264.400.17264.290.13251.064.88251.584.68258.871.92
2008252.75253.110.14253.180.17252.480.11251.240.60252.390.14249.561.26
2009239.68252.715.44239.680.00239.660.01251.364.87252.245.24233.842.44
2010256.22256.630.16255.820.16256.810.23251.431.87252.261.54250.402.27
2011254.70249.012.23252.970.68252.880.71251.431.28252.260.96241.075.35
2012246.55248.410.75247.710.47247.240.28251.371.95252.262.32242.891.48

MAPE3.350.230.212.592.101.86
2013253.64251.971.77254.772.90257.984.20251.241.47252.261.89249.910.94
2014260.86251.070.56260.444.32268.407.51251.040.55252.261.04251.720.83
2015263.94253.131.50266.897.02283.2913.60250.770.56252.261.15253.151.51

MAPE1.284.758.430.861.361.09