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Wind speed spatial estimation for energy planning in Sicily: A neural kriging application

Author

Listed:
  • Cellura, M.
  • Cirrincione, G.
  • Marvuglia, A.
  • Miraoui, A.

Abstract

One of the first steps for the exploitation of any energy source is necessarily represented by its estimation and mapping at the aim of identifying the most suitable areas in terms of energy potential. In the field of renewable energies this is often a very difficult task, because the energy source is in this case characterized by relevant variations over space and time. This implies that any temporal, but also spatial, estimation model has to be able to incorporate this spatial and temporal variability.

Suggested Citation

  • Cellura, M. & Cirrincione, G. & Marvuglia, A. & Miraoui, A., 2008. "Wind speed spatial estimation for energy planning in Sicily: A neural kriging application," Renewable Energy, Elsevier, vol. 33(6), pages 1251-1266.
    • Handle: RePEc:eee:renene:v:33:y:2008:i:6:p:1251-1266
    DOI: 10.1016/j.renene.2007.08.013
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    References listed on IDEAS

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    1. Bivona, S. & Burlon, R. & Leone, C., 2003. "Hourly wind speed analysis in Sicily," Renewable Energy, Elsevier, vol. 28(9), pages 1371-1385.
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