Türkiye’nin Enerji İhtiyacını Tahmin Etmek için Jaya Algoritmasına Dayalı Yeni Hibrit Bir Yaklaşım

The main objective of this study is to develop a highly predictive model forecast Turkey’s energy consumption. has developed based on regression functions and Jaya algorithm which new powerful optimization algorithm. Linear, exponential, hyperbolic quadratic were used as functions. Gross domestic product, population, import export data have been independent variables in the model. accuracy method was investigated using error criteria such average relative error, root mean square absolute error. As result analysis, it concluded that function with performed better than others. After optimal configurations defined, scenario estimate Turkey's future consumption values. obtained results are compared previous studies. According results, primary Turkey can be modeled proposed predict need.