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Predictability of wind speed patterns

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  • Njau, Ernest C.

Abstract

Theoretical work done earlier by the author shows that variations in all the basic meteorological parameters are generally represented by expressions having only a particular mathematical formulation. We report in this paper that this theoretical conclusion has been found to apply quite well to observed wind speed variations. Consequently, it is apparently possible to use the mathematical formulation just mentioned in predicting wind speed patterns at any given location for projected applications in wind- energy systems for long-terms strategies for protecting crops and/or buildings from damaging winds.

Suggested Citation

  • Njau, Ernest C., 1994. "Predictability of wind speed patterns," Renewable Energy, Elsevier, vol. 4(2), pages 261-263.
    • Handle: RePEc:eee:renene:v:4:y:1994:i:2:p:261-263
    DOI: 10.1016/0960-1481(94)90013-2
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    Cited by:

    1. Njau, Ernest C., 1994. "An electronic system for predicting air temperature and wind speed patterns," Renewable Energy, Elsevier, vol. 4(7), pages 793-805.
    2. Njau, Ernest C., 1998. "Amplitude-modulating periodicities in global and regional heat/temperature variations," Renewable Energy, Elsevier, vol. 13(3), pages 295-303.
    3. Njau, Ernest C., 1997. "Climatic switches," Renewable Energy, Elsevier, vol. 10(1), pages 1-9.
    4. Njau, Ernest C., 1995. "Expressions for wind speed, relative humidity, rainfall, absolute humidity, vapour pressure and dew point as functions of temperature," Renewable Energy, Elsevier, vol. 6(1), pages 23-28.
    5. Njau, Ernest C., 1995. "The Bermuda Triangle mysteries: an explanation based on the diffraction of heat waves," Renewable Energy, Elsevier, vol. 6(8), pages 1017-1022.
    6. Njau, Ernest C., 1997. "Velocity characteristics of wind patterns in Tanzania," Renewable Energy, Elsevier, vol. 11(1), pages 37-46.
    7. Mohandes, Mohamed A. & Rehman, Shafiqur & Halawani, Talal O., 1998. "A neural networks approach for wind speed prediction," Renewable Energy, Elsevier, vol. 13(3), pages 345-354.

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