Selen CekinirOnder OzgenerLeyla Ozgener2025-10-062022175500841755-008410.1016/j.ref.2022.09.003https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138616881&doi=10.1016%2Fj.ref.2022.09.003&partnerID=40&md5=402c4e0ea450631c622f6c71d3b6f598https://gcris.yasar.edu.tr/handle/123456789/8633In this study Türkiye's energy projection has been evaluated based on four different scenarios for 2050. Firstly Türkiye's electricity production amount in 2050 has been predicted by using an artificial neural network model in MATLAB. According to the prediction it has been revealed that to what extent which scenario can meet this production value. While doing this it has been considered whether Türkiye could meet its energy needs independently by using only its own resources. Then it has been determined how much production increase should be required for each domestic resource by 2050 to meet 100% of the need in each scenario. Also these scenarios have been evaluated and it has been decided which one is more important for energy independence and which one is more important for emission decrease. This is the first study that makes both an energy prediction for 2050 and reveals whether Türkiye could achieve its energy targets and what needs to do to achieve it. This study aims to be a guide for determining Türkiye's energy policies. © 2023 Elsevier B.V. All rights reserved.EnglishEnergy, Energy Consumption, Energy Policy, Modelling, Prediction, Energy Policy, Forecasting, Neural Networks, Artificial Neural Network Modeling, Domestic Resources, Electricity Production, Energy, Energy Needs, Energy Projections, Energy-consumption, Modeling, Production Increase, Production Value, Energy UtilizationEnergy policy, Forecasting, Neural networks, Artificial neural network modeling, Domestic resources, Electricity production, Energy, Energy needs, Energy projections, Energy-consumption, Modeling, Production increase, Production value, Energy utilizationArticle