Towards downscaling of aerosol gridded dataset for improving solar resource assessment, an application to Spain
F. Antonanzas-Torres,
A. Sanz-Garcia,
F.J. Martínez-de-Pisón,
J. Antonanzas,
O. Perpiñán-Lamigueiro and
J. Polo
Renewable Energy, 2014, vol. 71, issue C, 534-544
Abstract:
Solar radiation estimates with clear sky models require estimations of aerosol data. The low spatial resolution of current aerosol datasets, with their remarkable drift from measured data, poses a problem in solar resource estimation. This paper proposes a new downscaling methodology by combining support vector machines for regression (SVR) and kriging with external drift, with data from the MACC reanalysis datasets and temperature and rainfall measurements from 213 meteorological stations in continental Spain.
Keywords: Clear sky models; Downscaling; Aerosol; Linke turbidity; Solar radiation; AERONET (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148114003504
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:71:y:2014:i:c:p:534-544
DOI: 10.1016/j.renene.2014.06.010
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().