Abstract
Predicting short term wind speed is essential in order to prevent systems in-action from the effects of strong winds. It also helps in using wind energy as an alternative source of energy, mainly for Electrical power generation. Wind speed prediction has applications in Military and civilian fields for air traffic control, rocket launch, ship navigation etc. The wind speed in near future depends on the values of other meteorological variables, such as atmospheric pressure, moisture content, humidity, rainfall etc. There are number of methods for prediction. Using different methods for wind speed prediction and comparing these results we can obtain accurate method of prediction. This paper reports ARIMA, Artificial Neural Network and polynomial curve fitting model for short term wind speed prediction.
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