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

M. Cellura, G. Cirrincione, A. Marvuglia and A. Miraoui

Renewable Energy, 2008, vol. 33, issue 6, 1251-1266

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.

Keywords: Neural networks; Kriging; Sicily; GIS; DEM; Wind (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (37)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:33:y:2008:i:6:p:1251-1266

DOI: 10.1016/j.renene.2007.08.013

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