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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Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2018
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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) |
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modeling solar radiation neural network Technology T Engineering (General). Civil engineering (General) TA1-2040 |
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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.
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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 |
_version_ |
1718377882478182400 |