Turkey’s Forecasting of Energy Demand with Artificial Neural-Network

Energy demand isincreasing day by day in parallel with economic growth, especially for the rapidly developing countries. In order to achieve a sustainable economic growth, long-term targets are being put to manage the operation of market in a good way. Turkey isan emerging and rapidlydeveloping country soits energy demand has increased rapidly to meet the growing economy. Therefore, forecasting Turkey’s energy demand accurately is of great importance toachieve a sustainable economic growth. The main goal of this study is to develop the equation for forecasting energy demand using the backpropagationalgorithmwhich is one of the artificial neural-network models to determine the future level of energy demand.This study presents the predictions for the years 2017-2020.The results of the energy demand estimations found in this studyare compared with the official estimations of the MENR. It is concluded that official estimations for Turkey’s energy demand are dramatically higher than forecasting value presented in this study.