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Modeling the variability of solar radiation data among weather stations by means of principal components analysis

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Modeling the variability of solar radiation data among weather stations by means of principal components analysis

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Zarzo Castelló, M.; Martí Pérez, PC. (2011). Modeling the variability of solar radiation data among weather stations by means of principal components analysis. Applied Energy. 88(8):2775-2784. doi:10.1016/j.apenergy.2011.01.070

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Title: Modeling the variability of solar radiation data among weather stations by means of principal components analysis
Author: Zarzo Castelló, Manuel Martí Pérez, Pau Carles
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
Measurements of global terrestrial solar radiation (R s) are commonly recorded in meteorological stations. Daily variability of R s has to be taken into account for the design of photovoltaic systems and energy efficient ...[+]
Subjects: Missing data estimation , Multivariate statistical monitoring , PCA , Solar radiation
Copyrigths: Reserva de todos los derechos
Source:
Applied Energy. (issn: 0306-2619 )
DOI: 10.1016/j.apenergy.2011.01.070
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.apenergy.2011.01.070
Type: Artículo

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