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Ender Gül

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Papers by Ender Gül

Research paper thumbnail of Forecasting Domestic Energy Demand in Turkey with an Artificial Neural Network Approach

Forecasting energy demand is very important in terms of energy investment planning. Although dome... more Forecasting energy demand is very important in terms of energy investment planning. Although domestic energy consumption has small portion of total energy consumption, it is highly dependent on people’s life quality. Therefore in this study it is focused on only residential energy consumption. Four different parameters are chosen which effect residential energy consumption directly. These parameters are gross domestic product (GDP), rate of infant deaths, energy price and CO2 emissions. A neural network model is developed by considering deviation of four parameters between 1970-2012. To forecast Turkey’s domestic energy consumption in 2023, three different scenarios are developed. Scenarios are processed with artificial neural network model. Domestic energy consumptions in 2023 are forecasted and considered in terms of energy intensity.

Research paper thumbnail of Forecasting Domestic Energy Demand in Turkey with an Artificial Neural Network Approach

Forecasting energy demand is very important in terms of energy investment planning. Although dome... more Forecasting energy demand is very important in terms of energy investment planning. Although domestic energy consumption has small portion of total energy consumption, it is highly dependent on people’s life quality. Therefore in this study it is focused on only residential energy consumption. Four different parameters are chosen which effect residential energy consumption directly. These parameters are gross domestic product (GDP), rate of infant deaths, energy price and CO2 emissions. A neural network model is developed by considering deviation of four parameters between 1970-2012. To forecast Turkey’s domestic energy consumption in 2023, three different scenarios are developed. Scenarios are processed with artificial neural network model. Domestic energy consumptions in 2023 are forecasted and considered in terms of energy intensity.

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