Publication:
Daily predictions of solar radiation utilizing genetic programming techniques

Simple item page
dc.citedby2
dc.contributor.authorNadya R.U.K.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorBorhana A.A.en_US
dc.contributor.authorMardhiah N.A.en_US
dc.contributor.authorEl-Shafie A.en_US
dc.contributor.authorid57204049859en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid55212152300en_US
dc.contributor.authorid57211856548en_US
dc.contributor.authorid57207789882en_US
dc.date.accessioned2023-05-29T08:08:41Z
dc.date.available2023-05-29T08:08:41Z
dc.date.issued2020
dc.description.abstractThe 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v19.i2.pp900-905
dc.identifier.epage905
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85087072019
dc.identifier.spage900
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85087072019&doi=10.11591%2fijeecs.v19.i2.pp900-905&partnerID=40&md5=d0c0cd40a1aaa42f27209e9bc2bdb21b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25375
dc.identifier.volume19
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleDaily predictions of solar radiation utilizing genetic programming techniquesen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS