2001
DOI: 10.1016/s0168-1923(01)00217-9
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Estimation of hourly global photosynthetically active radiation using artificial neural network models

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Cited by 104 publications
(58 citation statements)
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“…The neural network (NN) technique has been previously applied to several studies of radiation with hourly resolution, for example, to estimate hourly global solar radiation (Sfetsos and Coonick 2000), global photosynthetic active radiation (López et al 2001), and, more recently, for diffuse solar radiation (Soares et al 2004). However, to the knowledge of the authors, the NN technique has never been applied to correct pyrgeometer data.…”
Section: ϫ2mentioning
confidence: 99%
“…The neural network (NN) technique has been previously applied to several studies of radiation with hourly resolution, for example, to estimate hourly global solar radiation (Sfetsos and Coonick 2000), global photosynthetic active radiation (López et al 2001), and, more recently, for diffuse solar radiation (Soares et al 2004). However, to the knowledge of the authors, the NN technique has never been applied to correct pyrgeometer data.…”
Section: ϫ2mentioning
confidence: 99%
“…records from the station with most similar t 1 Three PCA models were carried out, one with all 1203 variables of the R s dataset, 266…”
mentioning
confidence: 99%
“…The yearly average solar radiation is about 3.6 kW h/m 2 days, and the total yearly radiation period is about 2610 h [5]. In recent years, many individual studies have been carried out for solar measurements at different locations in Turkey [4] and in other countries e.g., in Saudi Arabia [6,7], in Spain [8,9]. However, they were not been complete to cover large areas because of insufficient number of measuring stations [10].…”
Section: Introductionmentioning
confidence: 99%
“…It is clear from many studies that usage of ANN method is suitable and applicable for estimating global solar radiation especially for regions where very large distances exist between meteorological stations and also having abundant solar energy [14,15]. Atmospheric parameter scan be used as input data for ANN method for predicting solar radiation.…”
Section: Introductionmentioning
confidence: 99%