Using Exponential smoothing Models in Forecasting about The Consumption of Gasoline in Iraq

Abstract

In this paper, the exponential smoothing approach is used in order to forecast about the consumption of Gasoline in Iraq for the years from 2014 to 2024 making use of the data obtained from the Oil Products Distribution Company. In this situation, three methods were applied, namely, Single, Double, and Winters' exponential smoothing. We employ; the mean absolute percentage error (MAPE), the mean absolute deviation (MAD) and mean squared deviation (MSD) as a criterion for compare between these methods. And we conclude that the winters' method is the best according to MAPE and MAD criterion.