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Journal ArticleDOI

Uses of sunshine duration to estimate the global solar radiation over eight meteorological stations in Egypt

M.T.Y. Tadros
- 01 Oct 2000 - 
- Vol. 21, Iss: 2, pp 231-246
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TLDR
In this paper, the climatological Angstrom regression coefficients have been determined by three methods and used to predict the global solar radiation over eight meteorological stations over eight years, each of the three methods depends on the correlation between two ratios.
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This article is published in Renewable Energy.The article was published on 2000-10-01. It has received 79 citations till now. The article focuses on the topics: Sunshine duration.

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Journal ArticleDOI

Global solar radiation estimation using sunshine duration in Spain

TL;DR: In this paper, several equations were employed to estimate global solar radiation from sunshine hours for 16 meteorological stations in Spain, using only the relative duration of sunshine, including the original Angstrom-Prescott linear regression and modified functions (quadratic, third degree, logarithmic and exponential functions).
Journal ArticleDOI

A critical review on the estimation of daily global solar radiation from sunshine duration

TL;DR: In this paper, a case study of the estimation models and global solar radiation estimation from sunshine duration is presented using five different models (linear, quadratic, cubic, logarithmic and exponential), which are the most common models used in the literature.
Journal ArticleDOI

New Temperature-based Models for Predicting Global Solar Radiation

TL;DR: In this article, the authors presented new ambient-temperature-based models for estimating global solar radiation as alternatives to the widely used sunshine-based model owing to the unavailability of sunshine data at all locations around the world.
Journal ArticleDOI

Evaluation of global solar radiation models for Konya, Turkey

TL;DR: 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.
Journal ArticleDOI

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.
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