Articles written in Journal of Earth System Science
Volume 117 Issue 4 August 2008 pp 457-463
Prediction of wind speed in the atmospheric boundary layer is important for wind energy assess- ment,satellite launching and aviation,etc.There are a few techniques available for wind speed prediction,which require a minimum number of input parameters.Four different statistical techniques,viz.,curve ﬁtting,Auto Regressive Integrated Moving Average Model (ARIMA),extrapolation with periodic function and Artiﬁcial Neural Networks (ANN)are employed to predict wind speed.These methods require wind speeds of previous hours as input.It has been found that wind speed can be predicted with a reasonable degree of accuracy using two methods,viz.,extrapolation using periodic curve ﬁtting and ANN and the other two methods are not very useful.
Volume 130, 2021
Continuous Article Publishing mode
Click here for Editorial Note on CAP Mode