Research Article

A Comparative Study of CO2 Emission Forecasting in the Gulf Countries Using Autoregressive Integrated Moving Average, Artificial Neural Network, and Holt-Winters Exponential Smoothing Models

Table 5

Predicted value of CO2 emissions (metric tons per capita) using the Holt-Winters exponential smoothing model and accuracy measures.

YearKSAUAEKWTBHRQATOMAN

201518.961918.365728.863622.814936.964717.7822
201620.386818.704928.806822.403636.598917.8181
201719.653717.390628.594822.649533.715618.6483
201821.117217.684628.537322.240633.234118.6652
201920.345416.415528.32622.484130.466519.5143
202021.847716.664428.267722.077629.869219.5124
202121.037215.440428.057122.318727.217320.3804
202222.578115.644227.998221.914626.504420.3595
202321.72914.465327.788322.153323.968221.2464
202423.308614.62427.728721.751623.139521.2067
202522.420813.490227.519521.987920.719122.1125
MSE5.300806457.0809129.272069838.3314634496.4151613.796661954
RMSE2.30234821.3794511.369787596.1912408622.28037611.94850249