Forecast of Hourly Wind Speed With Intelligent Model
نویسنده
چکیده
This paper focuses on the forecast of hourly wind speed using an intelligent model. The hourly wind speed of the meteorological stations are forecasted and compared. The selected two sites of Taiwan meteorological stations are Lan-Yu and Tung-Chi-Tao, whose wind speeds are the highest among 25 areas during the period of 1971-2000. An intelligent time series model is developed and used to forecast the randomly distributed wind speed data. Hourly records of wind speed are first used to establish intelligent fuzzy linguistic functions, and then fuzzy relational matrix is developed to form the time series relationship. The present results demonstrate the benefits and the robustness of the intelligent model. Key-Words: wind Speed, fuzzy logics, intelligent model, forecast.
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