The application of Bayesian network classifiers to cloud classification in satellite images

J. Alonso-Montesinos, M. Martínez-Durbán, J. del Sagrado, I.M. del Águila and F.J. Batlles

Renewable Energy, 2016, vol. 97, issue C, 155-161

Abstract: The need to reduce the impact of traditional electricity generation necessitates an increase in the optimization of alternative systems that produce less environmental contamination. Renewables play a key role, with solar energy considered one of the most important energy supply sources. Solar power plants have to be perfectly designed to optimize electricity generation, and their placement must be as suitable as possible for the meteorological conditions. Clouds are the most mitigating factor in solar energy production and their study is decisive in locating the plant. Apart from the importance of studying clouds before building the solar plants, cloud detection is equally decisive in adapting plant operation to cloud types during solar power plant operation.

Keywords: Cloud classification; Electricity generation; Remote sensing; Bayesian classifiers; Satellite images (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:97:y:2016:i:c:p:155-161

DOI: 10.1016/j.renene.2016.05.066

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