Abstract: A novel yaw control method for wind turbines based on predicted wind directions is proposed in this study.Specially,the proposed solution refers to a novel control structure that consists of a wind direction predictive model and a novel yaw control method.Under the proposed control structure,a hybrid autoregressive integrated moving average method-based Kalman filter model is used to predict the wind direction,and a novel model predictive control using a finite control set is proposed.To demonstrate the feasibility and the superiority of the proposed solution,the novel yaw controller is developed and tested through some simulation tests using industrial data.The performance is compared to the industrial yaw controller.Comparison results show that the novel yaw controller can reduce yaw error,and thus increase wind power extraction for the WTs.