Prediction of Hourly Solar Radiation in Six Provinces in Turkey by Artificial Neural Networks

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dc.contributor.authorSolmaz, Ozgur
dc.contributor.authorOzgoren, Muammer
dc.date.accessioned2020-03-26T18:31:05Z
dc.date.available2020-03-26T18:31:05Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe purpose of this study is to apply the method of artificial neural networks (ANNs) to predict the hourly solar radiation of six selected provinces in Turkey. Six neurons-receiving input signals of latitude, longitude, altitude, day of the year, hour of the day, and mean hourly atmospheric air temperature-were used in the input layer of the network. One neuron producing a corresponding output signal of hourly solar radiation was utilized in the output layer of the network. Two different models have been analyzed in the ANNs for training and testing. The results obtained from both models were compared by using different neurons, mean squared error (MSE), coefficient of determination (R-2), and mean absolute error (MAE). According to the results, the MSE value of training data in Model II was better than Model I. DOI: 10.1061/(ASCE)EY.1943-7897.0000080. (C) 2012 American Society of Civil Engineers.en_US
dc.description.sponsorshipSelcuk University's Coordinatorship of Scientific Research Office (BAP)Selcuk University [10101014]en_US
dc.description.sponsorshipSelcuk University's Coordinatorship of Scientific Research Office (BAP) Contract No. 10101014 supported this research. The authors thank the Turkish State Meteorological Service for providing data.en_US
dc.identifier.doi10.1061/(ASCE)EY.1943-7897.0000080en_US
dc.identifier.endpage204en_US
dc.identifier.issn0733-9402en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage194en_US
dc.identifier.urihttps://dx.doi.org/10.1061/(ASCE)EY.1943-7897.0000080
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28323
dc.identifier.volume138en_US
dc.identifier.wosWOS:000312674800005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherASCE-AMER SOC CIVIL ENGINEERSen_US
dc.relation.ispartofJOURNAL OF ENERGY ENGINEERING-ASCEen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial neural networken_US
dc.subjectBack-propagationen_US
dc.subjectHourly solar radiationen_US
dc.subjectSolar energyen_US
dc.subjectTurkeyen_US
dc.titlePrediction of Hourly Solar Radiation in Six Provinces in Turkey by Artificial Neural Networksen_US
dc.typeArticleen_US

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