Hangün, BatuhanEyecioğlu, ÖnderBeken, Murat2024-09-252024-09-252022978-166547140-4https://doi.org/10.1109/ICRERA55966.2022.9922684https://hdl.handle.net/20.500.12491/12299Istanbul Nisantasi University; NTEC; TMEiC11th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2022 -- 18 September 2022 through 21 September 2022 -- Istanbul -- 183802There are three main energy resources for energy production that is currently used by the countries can be listed as fossil fuels, renewable energy, and nuclear energy. Since the industrial revolution, the fundamental energy resource of the world is fossil sources. Due to their problems such as greenhouse gas emissions, production cost, etc., fossil fuels are not sustainable sources in terms of world ecology and economy. Developed countries of the world focused on using alternative energy resources like renewable energy and nuclear energy to produce green and sustainable energy for a better future. An assumption might be made about the relationship between the types of energy resources used by a country and its development level. In this study, we investigate the connection between the economic development of the countries and energy consumption patterns using a machine learning approach. We used a custom data set created by the combination of two separate data sets to deduce that relation by using the clustering method. It can be seen that developed countries are prone to cease the usage of fossil fuels and increase the energy produced by renewable and nuclear energy while underdeveloped or developing countries still rely mostly on fossil fuels. This trend among the developed countries has increased by the year. Additionally, we also wanted to see where Turkey stands among the selected countries and make an observation on its energy and economic development progress. © 2022 IEEE.eninfo:eu-repo/semantics/closedAccessClusteringEconomic DevelopmentFossil FuelsGross Domestic ProductMachine LearningNuclear EnergyRenewable EnergyConference Object10.1109/ICRERA55966.2022.99226845976002-s2.0-85142012504N/A