Smart and Innovative Approaches in Fault Detection Mechanisms of PV System

dc.contributor.authorHasır, Mehmet
dc.contributor.authorAkpolat, Alper Nabi
dc.contributor.authorAyan, Kürşat
dc.date.accessioned2025-11-16T19:25:14Z
dc.date.issued2025
dc.departmentİstanbul Medeniyet Üniversitesi
dc.description9th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2025 -- -- Gaziantep -- 211342
dc.description.abstractThe climate crisis and global warming experienced in recent years have made the use of renewable energy sources (RESs) in electricity networks inevitable. In this context, photovoltaic (PV) systems in particular come to the fore thanks to their applicability, efficiency, and easy accessibility. PV systems are not only one of the basic components of new generation electricity networks, but also play critical roles in terms of system sustainability. During this important task, the faultfree operation of PV systems is of great importance for the uninterrupted continuation of the energy supply. Faults and uncertainties that develop outside the nature of the system constitute one of the important bottlenecks. In today's technology, where digital information is intensively integrated, smart and innovative solutions stand out in overcoming such problems. This study aims to comprehensively address these bottlenecks specific to PV systems and to offer solution suggestions with the most intelligent, innovative, and effective approaches. In this context, the most effective studies conducted in the relevant field in the last five years have been examined, evaluated, and offered a road map for future research. © 2025 Elsevier B.V., All rights reserved.
dc.identifier.doi10.1109/ISAS66241.2025.11101763
dc.identifier.isbn9798331514822
dc.identifier.issn#DEĞER!
dc.identifier.scopus2-s2.0-105014947003
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ISAS66241.2025.11101763
dc.identifier.urihttps://hdl.handle.net/20.500.14730/14639
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20251116
dc.subjectartificial neural network
dc.subjectfault detection
dc.subjectpv system
dc.titleSmart and Innovative Approaches in Fault Detection Mechanisms of PV System
dc.typeConference Object

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