Energy Demand Forecasting and Policy Development in Turkey
As Turkey’s energy demand surges due to industrialization, population growth, and economic development, precise forecasting of electricity demand has become crucial for ensuring energy security and facilitating sustainable planning. This study undertakes an analysis of Turkey’s current energy landsc...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/13/3301 |
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| author | Ercan Köse Sevil Kutlu Kaynar |
| author_facet | Ercan Köse Sevil Kutlu Kaynar |
| author_sort | Ercan Köse |
| collection | DOAJ |
| description | As Turkey’s energy demand surges due to industrialization, population growth, and economic development, precise forecasting of electricity demand has become crucial for ensuring energy security and facilitating sustainable planning. This study undertakes an analysis of Turkey’s current energy landscape and develops long-term electricity demand forecasts utilizing a diverse array of statistical and machine learning models, including linear regression, polynomial regression, and artificial neural networks (ANNs). By incorporating economic indicators, demographic trends, and historical consumption data, this research projects Turkey’s electricity demand up to 2045. Among the various influencing factors, industrial production stands out as the most significant driver. The findings offer strategic insights into infrastructure investments, the integration of renewable energy, and policies aimed at enhancing efficiency. This research presents a data-driven, policy-oriented framework to assist decision-makers in reducing import dependence while steering Turkey towards a sustainable energy transition. |
| format | Article |
| id | doaj-art-dee3aa2c4f26487ebc8a1465b087a14b |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-dee3aa2c4f26487ebc8a1465b087a14b2025-08-20T03:50:17ZengMDPI AGEnergies1996-10732025-06-011813330110.3390/en18133301Energy Demand Forecasting and Policy Development in TurkeyErcan Köse0Sevil Kutlu Kaynar1Electrical-Electronics Engineering Department, Tarsus University, Tarsus, 33400 Mersin, TurkeyEnergy Systems Engineering ABD, Graduate Education Institute, Tarsus University, Tarsus, 33400 Mersin, TurkeyAs Turkey’s energy demand surges due to industrialization, population growth, and economic development, precise forecasting of electricity demand has become crucial for ensuring energy security and facilitating sustainable planning. This study undertakes an analysis of Turkey’s current energy landscape and develops long-term electricity demand forecasts utilizing a diverse array of statistical and machine learning models, including linear regression, polynomial regression, and artificial neural networks (ANNs). By incorporating economic indicators, demographic trends, and historical consumption data, this research projects Turkey’s electricity demand up to 2045. Among the various influencing factors, industrial production stands out as the most significant driver. The findings offer strategic insights into infrastructure investments, the integration of renewable energy, and policies aimed at enhancing efficiency. This research presents a data-driven, policy-oriented framework to assist decision-makers in reducing import dependence while steering Turkey towards a sustainable energy transition.https://www.mdpi.com/1996-1073/18/13/3301electricity demand forecastingregression modelsartificial neural networksrenewable energyenergy policytime series |
| spellingShingle | Ercan Köse Sevil Kutlu Kaynar Energy Demand Forecasting and Policy Development in Turkey Energies electricity demand forecasting regression models artificial neural networks renewable energy energy policy time series |
| title | Energy Demand Forecasting and Policy Development in Turkey |
| title_full | Energy Demand Forecasting and Policy Development in Turkey |
| title_fullStr | Energy Demand Forecasting and Policy Development in Turkey |
| title_full_unstemmed | Energy Demand Forecasting and Policy Development in Turkey |
| title_short | Energy Demand Forecasting and Policy Development in Turkey |
| title_sort | energy demand forecasting and policy development in turkey |
| topic | electricity demand forecasting regression models artificial neural networks renewable energy energy policy time series |
| url | https://www.mdpi.com/1996-1073/18/13/3301 |
| work_keys_str_mv | AT ercankose energydemandforecastingandpolicydevelopmentinturkey AT sevilkutlukaynar energydemandforecastingandpolicydevelopmentinturkey |