PREDICTION OF POWER GENERATION IN WIND TURBINES

Wind energy is a promising alternative source of clean and renewable that can help mitigate climate change. Accurate prediction power generation in wind turbines critical for the effective integration into grid. In this study, we compare performance two popular machine learning algorithms, linear regression random forest, turbines. We use speed direction as input variables output variable. Our results show forest outperforms terms accuracy robustness. Key Words: Power Generation, turbines, Random prediction, power,