Abstract
This paper describes the use of a self-tuning fuzzy prediction algorithm for wind speed and wind direction in typhoon area. The wind speed and wind direction have been measured by an anemovane on the top of a power-transmission tower. First, the fuzzy prediction rules are adjusted by a tuning algorithm so that the estimated data agree with the measured data for the past typhoon. After tuning process is completed, the wind speed and wind direction for a different typhoon are predicted by using the tuned fuzzy rules and the current data. Simulation results demonstrate the effectiveness of the proposed system.
