Wind energy is an essential source of renewable that has gained popularity in recent years. Accurately forecasting wind production crucial for efficient management and distribution. This paper proposes a machine learning-based approach using Support Vector Regression (SVR) Random Forest (RFR) to forecast production. The proposed methodology involves data collection, preprocessing, feature selec...