Investigation of electricity generation in wind power plants in Türkiye and its modeling in artificial intelligence

Wind power plants play a significant role in electricity generation as environmentally friendly and sustainable energy sources. These plants convert the kinetic energy of the wind into electrical energy, diversifying the energy portfolio while creating employment and contributing to local economies. With technological advancements, costs are decreasing, making wind energy more competitive. The use of wind energy in hospitals is of great importance for sustainability, reducing energy costs, and ensuring uninterrupted service. It provides a backup power source against outages, enhances the security of hospitals, and helps them fulfill their environmental responsibilities by reducing their carbon footprint. In times of crisis, such as war, pandemics, and natural disasters, wind energy plays a critical role in ensuring energy security as an independent and local source. It can be rapidly deployed in disaster areas to support essential needs such as healthcare services, communication, and shelter. Additionally, by reducing dependence on fossil fuels, it minimizes long-term environmental impacts. Therefore, wind energy offers significant advantages as a sustainable and reliable energy source. In this study, we analyzed the daily changing climate conditions over the past ten years in provinces with established wind power plants in our country. Using artificial intelligence algorithms, we aimed to predict the potential energy output of wind power plants in the coming years by considering various variables (radiation, humidity, temperature, wind). Our goal is to optimize energy production by directing the generated electricity toward maximum efficiency based on real-world conditions. KEYWORDS: Wind turbines, Artificial intelligence, Machine learning, Efficiency, Energy, Renewable energy