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The following studies were selected from the literature in order to present the variety of the methods. By using genetic algorithms; Ceylan and Ozturk [17] have conducted an estimation study up to the year 2025 in Turkey’s long-term energy demand forecasting. By using particle swarm optimization (PSO); Unler [18] has carried out the long-term demand forecast of Turkey up to the year 2025. By using ant colony optimization algorithm (ACO); Toksari [19] has predicted the Turkey’s long-term demand under the effect of selected economic and demographic variables. By using an optimized grey modeling; Hamzacebi and Es [20] have forecasted the annual electricity consumption in Turkey. Finally electricity consumption forecasting and robust forecasting modeling have been proposed using the support vector regression model [21] and singular value decomposition [22].
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