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Daily predictions of solar radiation utilizing genetic programming techniques

The solar radiation prediction in Kuala Terengganu located in Terengganu, Malaysia was investigated in this study to improve the solar system design. Solar radiation data and number of parameters such as solar radiation, temperature, humidity, wind speed and sunshine hours were obtained from Malaysi...

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Main Authors: Nadya R.U.K., Ahmed A.N., Borhana A.A., Mardhiah N.A., El-Shafie A.
Other Authors: 57204049859
Format: Article
Published: Institute of Advanced Engineering and Science 2023
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spelling my.uniten.dspace-253752023-05-29T16:08:41Z Daily predictions of solar radiation utilizing genetic programming techniques Nadya R.U.K. Ahmed A.N. Borhana A.A. Mardhiah N.A. El-Shafie A. 57204049859 57214837520 55212152300 57211856548 57207789882 The solar radiation prediction in Kuala Terengganu located in Terengganu, Malaysia was investigated in this study to improve the solar system design. Solar radiation data and number of parameters such as solar radiation, temperature, humidity, wind speed and sunshine hours were obtained from Malaysian Meteorological Malaysia MMD. In order to predict the solar radiation, Genetic Programming Techniques (GP) models were develop and tested. Two scenarios were considered in this study in order to validate the efficiency of the proposed model. Coefficients of determination (R2) for the solar radiation during training and testing phases were ranged between 0.99402 to 0.98934 for all months of the year. This study confirms the ability of GP to predict solar radiation values precisely and accurately. The predictions from the GP models could enable scientists to locate and design solar energy systems in Malaysia. � Advanced Scientific Research. All rights reserved. Final 2023-05-29T08:08:41Z 2023-05-29T08:08:41Z 2020 Article 10.11591/ijeecs.v19.i2.pp900-905 2-s2.0-85087072019 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087072019&doi=10.11591%2fijeecs.v19.i2.pp900-905&partnerID=40&md5=d0c0cd40a1aaa42f27209e9bc2bdb21b https://irepository.uniten.edu.my/handle/123456789/25375 19 2 900 905 All Open Access, Gold, Green Institute of Advanced Engineering and Science Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The solar radiation prediction in Kuala Terengganu located in Terengganu, Malaysia was investigated in this study to improve the solar system design. Solar radiation data and number of parameters such as solar radiation, temperature, humidity, wind speed and sunshine hours were obtained from Malaysian Meteorological Malaysia MMD. In order to predict the solar radiation, Genetic Programming Techniques (GP) models were develop and tested. Two scenarios were considered in this study in order to validate the efficiency of the proposed model. Coefficients of determination (R2) for the solar radiation during training and testing phases were ranged between 0.99402 to 0.98934 for all months of the year. This study confirms the ability of GP to predict solar radiation values precisely and accurately. The predictions from the GP models could enable scientists to locate and design solar energy systems in Malaysia. � Advanced Scientific Research. All rights reserved.
author2 57204049859
author_facet 57204049859
Nadya R.U.K.
Ahmed A.N.
Borhana A.A.
Mardhiah N.A.
El-Shafie A.
format Article
author Nadya R.U.K.
Ahmed A.N.
Borhana A.A.
Mardhiah N.A.
El-Shafie A.
spellingShingle Nadya R.U.K.
Ahmed A.N.
Borhana A.A.
Mardhiah N.A.
El-Shafie A.
Daily predictions of solar radiation utilizing genetic programming techniques
author_sort Nadya R.U.K.
title Daily predictions of solar radiation utilizing genetic programming techniques
title_short Daily predictions of solar radiation utilizing genetic programming techniques
title_full Daily predictions of solar radiation utilizing genetic programming techniques
title_fullStr Daily predictions of solar radiation utilizing genetic programming techniques
title_full_unstemmed Daily predictions of solar radiation utilizing genetic programming techniques
title_sort daily predictions of solar radiation utilizing genetic programming techniques
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806426660806852608
score 13.222552

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