Comparison of success rates of artificial intelligence and classical methods in estimation of photovoltaic energy production: Study of İzmir Bakırçay University

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dc.contributor.authorUz, Özgün
dc.contributor.authorÖzmen, Özge Tüzün
dc.date.accessioned2025-03-21T07:38:22Z
dc.date.available2025-03-21T07:38:22Z
dc.date.issued2023
dc.departmentİzmir Bakırçay Üniversitesi
dc.description.abstractGlobal solar energy has become a popular investment choice for investors, with installed power reaching 940GW according to 2021 data. Investors are interested in profit margin estimations based on energy production, which are provided through feasibility studies conducted before building solar power plants (SPP). While classical mathematical algorithms are typically used to calculate energy production, advances in technology offer opportunities to achieve better results. In our energy production estimation studies conducted at İzmir Bakırçay University SPP, we achieved a 70.24% success rate using classical estimation algorithms based on past production and meteorological data. However, by developing an artificial neural network, we achieved a 98.23% success rate, making it a more beneficial option for investors. Our aim was to create a reliable feasibility environment.
dc.identifier.issn2757-9778
dc.identifier.issue1
dc.identifier.startpage24-Dec
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2761
dc.identifier.urihttps://dergipark.org.tr/tr/pub/aita/issue/77113/1251300
dc.identifier.volume3
dc.language.isoen
dc.publisherİzmir Bakırçay Üniversitesi
dc.relation.ispartofArtificial Intelligence Theory and Applications
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250319
dc.subjectphotovoltaic energy
dc.subjectenergy estimation methods
dc.subjectartificial neural networks
dc.titleComparison of success rates of artificial intelligence and classical methods in estimation of photovoltaic energy production: Study of İzmir Bakırçay University
dc.typeArticle

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