Generator windings regularly operate at temperatures exceeding 120°C, while blade surfaces experience thermal gradients from -20°C during icing conditions to 60°C under direct solar exposure. These thermal loads directly impact component longevity, power generation . This paper presents the mathematical modeling of the thermal state of a 1000 W wind turbine generator (WTG) integrated into a vertical-axis wind turbine (VAWT) system, taking into account external environmental factors, mechanical losses, and the operation of the cooling system. The developed model. A novel methodology to model the power curves of wind turbines, which combines the use of artificial neural networks (ANN) and Fuzzy logic rules, is proposed in this paper. These. ontained in air motion. Wind power quantifies the rate of this ki etic energy extraction. Because the motion is both the source of the energy and the means of its transport, the efficiency of wind power extraction is a. Other factors like turbine efficiency, air temperature, terrain, and atmospheric pressure also play a major role in deciding the total power output of a wind energy system.
