Journal ArticleDOI
Evaluation of global solar radiation models for Konya, Turkey
TLDR
In this article, the authors evaluated the applicability of 50 models for computing the monthly average daily global radiation on a horizontal surface, the geographical and meteorological data of Konya, Turkey (37°52′N latitude, 32°29′E longitude) was used.About:
This article is published in Energy Conversion and Management.The article was published on 2006-11-01. It has received 141 citations till now.read more
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Empirical models for estimating global solar radiation: A review and case study
TL;DR: In this article, a chronologically collected and reviewed the extensive global solar radiation models available in the literature and to classify them into four categories, i.e., sunshine-based, cloudbased, temperature-based and other meteorological parameter-based models, based on the employed meteorological parameters as model input.
Journal ArticleDOI
Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey
TL;DR: In this paper, seven different empirical equations are employed to estimate the monthly average daily global solar radiation on a horizontal surface for provinces in different regions of Turkey, using only the relative duration of sunshine.
Journal ArticleDOI
Models for obtaining daily global solar radiation with measured air temperature data in Madrid (Spain)
TL;DR: In this paper, the authors developed a new model for estimating global solar radiation data using temperature measured data for seven stations located in Madrid, Spain, which can be used in the design and estimation of the performance of solar applications.
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Computation of monthly mean daily global solar radiation in China using artificial neural networks and comparison with other empirical models
TL;DR: In this article, an artificial neural network (ANN) model is developed for estimating monthly mean daily global solar radiation of 8 typical cities in China, and the feed-forward back-propagation algorithm is applied in this analysis.
Journal ArticleDOI
Prediction of daily global solar irradiation data using Bayesian neural network: A comparative study
TL;DR: Results show that the BNN performs better that other NN structures and empirical models and Automatic relevance determination (ARD) method has investigated in order to select the optimum input parameters of the NN.
References
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Solar engineering of thermal processes
TL;DR: In this article, the authors present an active and passive building heating system for solar thermal power systems, where the active system is designed by f--chart and the passive one by Utilizability Methods.
Journal ArticleDOI
Solar Engineering of Thermal Processes
TL;DR: In this article, the authors present an active and passive building heating system for solar thermal power systems, where the active system is designed by f--chart and the passive one by Utilizability Methods.
Journal ArticleDOI