Wind direction and speed forecasting optimization algorithm for ship based on time series and Kalman filter

A real-time algorithm combining time series modeling and Kalman filter analysis (KF ) was proposed for fast and accurate prediction of wind direction and speed . The ship-based dynamic positioning experiments showed that the optimization performance of this method was better than the moving average filtering algorithm, the algorithm in Ref. [4], and using the algorithm in this paper could also filter out the noise effectively, reduce the average error, improve the precision of ship’s wind direction and speed prediction.