## 1 Introduction  
One of the most basic human needs is energy. Energy demand is increasing all over the world, including Turkey. Providing adequate and affordable energy is essential to eradicate poverty, improve human well-being and raise living standards around the world. Thanks to the decrease in the cost of renewable energy sources over time, it has been possible to meet the demand for electricity generation in recent years. Fossil fuels have been the main source of global electricity generation. However, it is essential to increase the use of renewable energy sources for power supply in the world due to the adverse environmental effects of electricity generation from fossil fuels, climate change, the demolition of fossil fuel reserves, and fluctuating charges [1]. Alternative \"clean\" energy sources that are independent of fossil fuels and have a manageable environmental impact are being developed in order to satisfy the rising global energy demand while preserving the environment and leaving the possibility of the use of fossil fuels in the future [2]. Promoting the use of renewable energy sources has been identified as one of the most effective strategies to mitigate the effects of current and future climate change. Therefore, a worldwide renewable energy policy is being developed and implemented to facilitate the growth of the renewable energy sector [3]. Energy sources that can be classified as renewable include solar, geothermal, hydro energy systems such as hydroelectric, wave, tidal, and ocean thermal energy conversion systems, as well as biomass and wind energy [4]. Wind and solar systems are attracting more attention due to their significant natural potential in many parts of the world [5]. Wind energy has been the focus of attention due to its clean and environmentally friendly nature and because it is one of the most economically viable renewable energy sources. An electric current is produced when wind turbines capture the kinetic energy of air flows. Wind farms usually consist of several wind turbines covering many square kilometers of land or ocean. Developments and innovations in the wind energy sector have led not only to improvements in the design and manufacture of turbines but also to better capacity factors, resulting in lower wind energy costs, confirming that this technology is a key driver of the clean energy transition. The rapidly growing use and production of wind energy requires extensive research in various fields. The most precise technique of converting wind energy into clean electricity is provided by turbine systems, which even have lower operational and maintenance expenses. The precise prediction of wind power is considered a major contribution to large-scale wind power generation [6; 7; 8; 9]. Artificial neural networks (ANNs) are widely accepted as a technology that offers an alternative way to overcome complex and ill-defined problems. Artificial neural networks are computer networks that aim to roughly simulate the decision-making process in neural networks of biological (human or animal) central nervous systems [10]. They can be described as a collection of processing units represented by artificial neurons connected by numerous interconnections (artificial synapses), implemented by vectors and synaptic weight matrices, and capable of acquiring and maintaining knowledge (knowledge-based) [11]. ANNs have been successfully used in a variety of domains, including mathematics, engineering, medicine, economics, meteorology, psychology, and neurology. The analysis of electromyographs and other medical signatures, the identification of military targets, pattern, voice, and speech recognition, and the detection of explosives in checked baggage are some of the most significant. They are also employed in the prediction of electrical and thermal loads, adaptive and robotic control, weather and market trends, and mineral exploration sites.