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The ANFIS as a Prediction Method of Efficiency of PV Cells

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dc.contributor.authorBeken, Murat
dc.contributor.authorKayisli, Korhan
dc.contributor.authorEyecioglu, Onder
dc.contributor.authorYagci, Ozlem
dc.contributor.authorIcelli, Orhan
dc.date.accessioned2026-06-27T14:22:22Z
dc.date.issued2018
dc.description.abstractIn this study, the efficiency and output voltage of the photo-voltaic (PV) cells which is doped with Boric acid (113803) at different concentrations ((0, 0.625, 1.25, 2.50, 3.75 and 5.00 mg / ml) has been predicted using Adaptive Neural Fuzzy Inference System (ANF1S) as artificial intelligence methods. We have shown that the results obtained with ANFIS are in harmony with experimental studies. Therefore, the ANFIS method can be handled as a practical tool to predict output voltage of the PV cells under different conditions.en
dc.description.sponsorship2211-C Domestic Doctoral Scholarship Program for Priority Areas, TUBITAK [113-F-391]
dc.description.sponsorshipYildiz Technical University Scientific Research Projects Coordination (BAP) project
dc.description.sponsorshipYildiz Technical University Scientific Research Projects Coordination (BAP) project [2013-01-01-DOP01]
dc.identifier.endpage1391
dc.identifier.isbn978-1-5386-5982-3
dc.identifier.issn2377-6897
dc.identifier.startpage1389
dc.identifier.urihttps://hdl.handle.net/20.500.14981/59841
dc.identifier.wos000457681100229
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference7th International Conference on Renewable Energy Research and Applications (ICRERA)
dc.relation.ispartof2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA)
dc.subjectSolar cell
dc.subjectArtificial Intelligence
dc.subjectANFIS
dc.subjectPEDOT
dc.subjectPSS
dc.subjectBoric acid
dc.subjectScience & Technology - Other Topics
dc.subjectEnergy & Fuels
dc.subjectEngineering
dc.titleThe ANFIS as a Prediction Method of Efficiency of PV Cells
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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