Forecasting Türkiye’s Hourly Electricity Production by Using Nonlinear Autoregressive Models


Considering that industrialization is increasing rapidly, and technological enhancement is developing exponentially compared to the past, and considering that electrical energy is at the center of all these, it is one of the essentials of our age that this energy reaches its end users efficiently and at low cost. The aim of this study is to predict electricity generation with the help of the NARX model, an artificial neural network model, with the help of hourly data of Türkiye between 2016 and 2022 and to reveal the success of the model. As a result of the analysis, 99.83% coefficient of determination value was obtained with the NARX model.

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