Smart Maintenance with Regression Analysis for Efficiency Improvement in Photovoltaic Energy Systems

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dc.contributor.authorAy, İlker
dc.contributor.authorKademli, Murat
dc.contributor.authorSavaş, Serkan
dc.contributor.authorKarellas, Sotirios
dc.contributor.authorMarkopoulos, Angelos
dc.contributor.authorHatzilau, Christina-Stavroula
dc.contributor.authorDevlin, Philip
dc.date.accessioned2025-01-21T16:28:32Z
dc.date.available2025-01-21T16:28:32Z
dc.date.issued2023
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThis research had the overarching goal of optimizing maintenance intervals and reducing the maintenance workload by enhancing accessibility for individuals lacking technical expertise in the upkeep of photovoltaic systems, with a particular focus on rooftop applications. The study achieved this objective by employing a linear regression algorithm to analyse climatic parameters such as wind speed, humidity, ambient temperature, and light intensity, collected from the installation site of a photovoltaic solar energy system. Simultaneously, the current and voltage values obtained from the system were also examined. This analysis not only facilitated the determination of power generation within the system but also enabled real-time detection of potential issues such as pollution, shadowing, bypass, and panel faults on the solar panels. Additionally, an artificial intelligence-supported interface was developed within the study, attributing any decline in power generation to specific causes and facilitating prompt intervention to rectify malfunctions, thereby ensuring more efficient system operation. © The Author(s).
dc.description.sponsorshipTurkish National Agency; European Commission, EC, (2020-1-TR01-KA202-093257); Erasmus+, (KA202)
dc.identifier.doi10.22059/jser.2023.363200.1335
dc.identifier.endpage1679
dc.identifier.issn2588-3097
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85179362366
dc.identifier.scopusqualityQ4
dc.identifier.startpage1663
dc.identifier.urihttps://doi.org/10.22059/jser.2023.363200.1335
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23570
dc.identifier.volume8
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherUniversity of Tehran
dc.relation.ispartofJournal of Solar Energy Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectEfficiency; Maintenance and repair; Photovoltaic; Regression analysis; Solar energy system
dc.titleSmart Maintenance with Regression Analysis for Efficiency Improvement in Photovoltaic Energy Systems
dc.typeArticle

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