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The objective of this study was to construct a daily wind speed forecasting model at an altitude of 120 meters, Pak Phanang District, Nakhon Si Thammarat Province via the use of 4 statistical methods, namely, BoxJenkins method, Holt’s exponential smoothing method, Brown’s exponential smoothing method, and damped trend exponential smoothing method. The average daily wind speed, which was gathered from the Research Center in Energy and Environment, Thaksin University during January 1, 2015 to June 30, 2015 of 1,277 days was divided into two datasets. The first dataset, which consisted of 1,248 days from January 1, 2015 to May 31, 2015 was used for constructing the forecasting models. The second dataset, which consisted of 30 days from June 1 – 30, 2015 was used for comparing the accuracy of the forecasts via the criterion of the lowest root mean square error (RMSE). The results indicated that the most accurate method was Box-Jenkins method (RMSE = 1.5556) which the forecasting model was t Ŷ t 1 t 2 t 3 t 4 t 1 t 2 0.82429Y 0.69963Y 0.80909Y 0.28517Y 0.22656e 0.77254e − − − − − − = + − + + − .

Daily Wind Speed Forecast Model at an Altitude of 120 Meters, Pak Phanang District, Nakhon Si Thammarat Province