Accurate prediction of wind power is important in sustainably integrating wind power in a smart grid. The goal of this project is to design an efficient approach for Wind Power Prediction using machine learning models. Real measurements recorded every ten minutes from an actual wind turbine will be used to illustrate the prediction quality of the studied methods.