Farklı rüzgâr türbinlerinin enerji üretim performans farklılıklarının makine öğrenmesi ile analiz

The main purpose of this thesis is to produce energy production data of different wind turbines Performance differences between turbines through machine learning and data visualisation methods İs to be analysed. Efficiency in wind energy systems varies depending on many factors. In this thesis, Multiple turbine data were examined, especially by considering parameters such as active power generation, wind speed and wind direction, and The production differences between turbines have been revealed. Within the scope of the study: ✓ A comprehensive data pre-processing and cleaning process has been implemented using real wind turbine sensor data. ✓ Machine learning algorithms (e.g. regression models) for comparing turbine performances and Statistical analysis techniques were used. ✓ With the help of visualisation tools, energy production trends and turbine behaviour are clearly explained to the user. İs presented. ✓ By analysing the reaction and efficiency differences of different turbines to environmental conditions, affecting performance The basic elements are determined. This thesis study, development of decision support mechanisms to improve the performance of wind energy systems It aims to contribute to the literature in terms of.