On the use of niching genetic algorithms for variable selection in solar radiation estimation

A. Will, J. Bustos, M. Bocco, J. Gotay and C. Lamelas

Renewable Energy, 2013, vol. 50, issue C, 168-176

Abstract: Prediction of climatic variables, in particular those related to wind and solar radiation, has developed a huge interest in recent years, mainly due to its applications to renewable energy. In many cases there is a large number of factors that influence the climatic variable of interest, and the researcher chooses the most relevant ones (based on previous knowledge of the region, availability, etc.) and runs a series of experiments combining the available data in order to find the combination that provides the best prediction.

Keywords: Niching genetic algorithms; Solar radiation; Variables selection; Meteorology (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:50:y:2013:i:c:p:168-176

DOI: 10.1016/j.renene.2012.06.039

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