Abstract
The statistical characteristics of wind at 10 locations in the Kingdom of Saudi Arabia are studied. The autocorrelation coefficients are computed and correlograms are found compatible with the real diurnal variation of mean wind speed for almost all the locations. The stochastic time series analysis is found to be suitable for the description of autoregressive models involving time lags of 1 and 24 h. The forecast wind values obtained from these autoregressive models are compared with the observed wind data for almost all the locations and are found to be in very good agreement.
| Original language | English |
|---|---|
| Pages (from-to) | 949-956 |
| Number of pages | 8 |
| Journal | Renewable Energy |
| Volume | 4 |
| Issue number | 8 |
| DOIs | |
| State | Published - Nov 1994 |
Bibliographical note
Funding Information:Acknowledgement~The authors wish to acknowledge the support of the Research Institute of the King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment