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


Energy demand is increasing 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 is an emerging and rapidly developing country so its energy demand has increased rapidly to meet the growing economy. Therefore, forecasting Turkey’s energy demand accurately is of great importance in order to achieve a sustainable economic growth. The main goal of this study is to develop the equation for forecasting energy demand using the backpropagation algorithm which is one of the supervised learning methods of artificial neural-network to determine the future level of energy demand. Based on our findings, some policy implications related to energy demand are also discussed.