Sunida Chaokasem creator Huynh, Ngoc Phien Chairperson Sadananda, Ramakoti Examination Committee Tien, Hoang Le Examination Committee Royal Thai Government Scholarship Donor text series technical report th Bangkok Asian Institute of Technology 2000 continuing eng 44 leaves In this study, hourly wind speed and direction at Promthep cape in Phuket, are forecasted and simulated using Box-Jenkins and Backpropagation approaches without the use of other external data. It was found that ARIMA models and seasonal ARIMA models are useful for short-range forecasting but are not very good in data generation. Backpropagation network models are good for forecasting and for generating data, which resemble the observed data in terms of the important statistics (mean, variance and skewness coefficient). For forecasting, Box-Jenkins models can perform slightly better than Backpropagation network models. However, for data generation (simulation), Backpropagation models can preserve the statistics of the observed data much better than Box-Jenkins models. A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies Thesis (M.Eng.) - Asian Institute of Technology 2000 Wind forecasting Winds Speed Measurement Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B06718 http://203.159.5.9/ait-thesis/detail.php?q=B06718 010817 20260819090806.0