Investigation of electricity production in solar power plants in Turkey and modeling it in artificial intelligence

Today, as a result of population growth and technological developments, the need for energy is increasing day by day. The increasing need for energy has led people to alternative energy sources. In this context, environmentally friendly solar energy is gaining importance today. With the development of solar energy technology; Sun rays are collected by photovoltaic panels and converted into electrical energy. In this way, we can meet a large part of our energy needs in an environmentally friendly way. In our study, the amount of electricity produced depending on the changing climatic conditions of certain provinces in Turkey on different days was obtained from the measurements made as a result of field studies from solar power plants. In order to create a model that will shed light on the future and to determine the accuracy of the measurements taken, an artificial intelligence algorithm was trained to predict the power generated by photovoltaic panels depending on parameters such as temperature, humidity, wind and radiation value. As a result of these studies, the best results were obtained in Mardin province in terms of measurements taken from the field and the models created among the solar power plants in Turkey. The model approached 98% of the daily data in Mardin province. In our study, the effect of climate variability on the beneficial and efficient use of solar energy, factors affecting the efficiency of measurements made as a result of field studies in solar power plants and modeling of energy data produced with artificial intelligence are discussed. Combining and interpreting these in our study will make a great contribution to the literature on the capacities of solar power plants in the region. KEYWORDS: Photovoltaic panel, Artificial intelligence, Machine learning, Efficiency, Energy.