MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK

Modeling of solar radiation with neural network could be used for real-time calculations of the radiation on tilted surfaces with different orientations. In the artificial neural network (ANN), latitude, day of the year, slope, surface azimuth and average daily radiation on horizontal surface are i...

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Autores principales: VALENTIN STOYANOV, IVAYLO STOYANOV, TEODOR ILIEV
Formato: article
Lenguaje:EN
Publicado: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2018
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Acceso en línea:https://doaj.org/article/b744dd21728e4b67a35d10ccbb56980d
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spelling oai:doaj.org-article:b744dd21728e4b67a35d10ccbb56980d2021-12-02T18:36:10ZMODELING OF SOLAR RADIATION WITH A NEURAL NETWORK10.29081/jesr.v24i3.552068-75592344-4932https://doaj.org/article/b744dd21728e4b67a35d10ccbb56980d2018-09-01T00:00:00Zhttp://www.jesr.ub.ro/1/article/view/55https://doaj.org/toc/2068-7559https://doaj.org/toc/2344-4932 Modeling of solar radiation with neural network could be used for real-time calculations of the radiation on tilted surfaces with different orientations. In the artificial neural network (ANN), latitude, day of the year, slope, surface azimuth and average daily radiation on horizontal surface are inputs, and average daily radiation on tilted surface of definite orientation is output. The possible ANN structure, the size of training data set, the number of hidden neurons, and the type of training algorithms were analyzed in order to identify the most appropriate model. The same ANN structure was trained and tested using data generated from the Klein and Theilacker model and long-term measurements. Reasonable accuracy was obtained for all predictions for practical need. VALENTIN STOYANOV IVAYLO STOYANOVTEODOR ILIEVAlma Mater Publishing House "Vasile Alecsandri" University of Bacauarticlemodelingsolar radiationneural networkTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENJournal of Engineering Studies and Research, Vol 24, Iss 3 (2018)
institution DOAJ
collection DOAJ
language EN
topic modeling
solar radiation
neural network
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle modeling
solar radiation
neural network
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
VALENTIN STOYANOV
IVAYLO STOYANOV
TEODOR ILIEV
MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK
description Modeling of solar radiation with neural network could be used for real-time calculations of the radiation on tilted surfaces with different orientations. In the artificial neural network (ANN), latitude, day of the year, slope, surface azimuth and average daily radiation on horizontal surface are inputs, and average daily radiation on tilted surface of definite orientation is output. The possible ANN structure, the size of training data set, the number of hidden neurons, and the type of training algorithms were analyzed in order to identify the most appropriate model. The same ANN structure was trained and tested using data generated from the Klein and Theilacker model and long-term measurements. Reasonable accuracy was obtained for all predictions for practical need.
format article
author VALENTIN STOYANOV
IVAYLO STOYANOV
TEODOR ILIEV
author_facet VALENTIN STOYANOV
IVAYLO STOYANOV
TEODOR ILIEV
author_sort VALENTIN STOYANOV
title MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK
title_short MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK
title_full MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK
title_fullStr MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK
title_full_unstemmed MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK
title_sort modeling of solar radiation with a neural network
publisher Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
publishDate 2018
url https://doaj.org/article/b744dd21728e4b67a35d10ccbb56980d
work_keys_str_mv AT valentinstoyanov modelingofsolarradiationwithaneuralnetwork
AT ivaylostoyanov modelingofsolarradiationwithaneuralnetwork
AT teodoriliev modelingofsolarradiationwithaneuralnetwork
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