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dc.contributor.authorCevik Bektas, Sibel
dc.contributor.authorCakmak, Recep
dc.contributor.authorAltas, Ismail H.
dc.date.accessioned2021-11-09T19:42:38Z
dc.date.available2021-11-09T19:42:38Z
dc.date.issued2019
dc.identifier.isbn978-1-7281-2868-9
dc.identifier.urihttps://hdl.handle.net/20.500.12440/3433
dc.descriptionInnovations in Intelligent Systems and Applications Conference (ASYU) -- OCT 31-NOV 02, 2019 -- Izmir, TURKEYen_US
dc.description.abstractThis paper introduces design and utilization of a MATLAB graphical user interface (GUI) platform to forecast day ahead hourly Photovoltaic (PV) panel power by using forecasted day ahead global horizontal solar radiation. This platform, which would be a useful and practical tool for researchers who are study on energy management, planning and forecasting studies, consists of three parts. The first part predicts day ahead global horizontal solar radiation by trained artificial neural network (ANN) model. The second part performs the calculation of solar irradiation on the module, which has a tilted angle according to forecasting solar radiation data. The last part estimates the power generated by PV panel according to the calculated incident radiation. In this study, the solar irradiation forecasting, the calculation of incident radiation to tilted module and prediction of the solar power to be generated by the PV module are done. The designed GUI has been utilized to forecast solar radiation and PV output power for test days. Then obtained forecasted data have been evaluated with mean absolute percentage error (MAPE) and correlation coefficient (R).en_US
dc.description.sponsorshipYasar Univ, IEEE Turkey Sect, Yildiz Teknik Univ, Idea, Siemensen_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [EEEAG-115E943]en_US
dc.description.sponsorshipThis study was supported by the Scientific and Technological Research Council of Turkey (TUBITAK), Grant No: EEEAG-115E943.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2019 Innovations in Intelligent Systems and Applications Conference (Asyu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectday ahead hourly solar radiation forecastingen_US
dc.subjectpower estimationen_US
dc.subjectartificial neural networken_US
dc.subjectgraphical user interfaceen_US
dc.titleDesign of a MATLAB GUI for Day Ahead Forecasting of PV Panel Poweren_US
dc.typeconferenceObjecten_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.description.wospublicationidWOS:000631252400109en_US
dc.description.scopuspublicationid2-s2.0-85078331481en_US
dc.departmentGümüşhane Üniversitesien_US
dc.identifier.startpage581en_US
dc.identifier.endpage585en_US
dc.authorscopusid57215312573
dc.authorscopusid55364863700
dc.authorscopusid6603812262


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