Fault prediction in renewable energy based smart electric grid using artificial intelligence

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dc.contributor.advisorKurnaz, Sefer
dc.contributor.authorAbdulazeez, Mshhain Ghazi
dc.date.accessioned2024-01-07T11:07:06Z
dc.date.available2024-01-07T11:07:06Z
dc.date.issued2023en_US
dc.date.submitted2023
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractThe concept of intelligent energy networks (Intelligent Energy Networks), or Smart Grid (SG) has been developed aiming to make the EPS operation more robust, economical, reliable, available and automated. New technologies, applications and smart devices have been developed, mainly to make the distribution layer smarter. However, an EPS must have an integrated intelligent operation, aggregating all functionalities at all levels of the EPS with the aim of improving the EPS's performance in terms of economics, quality of service and technology. The use of these resources makes it possible to make the operation of the electrical system more flexible in the contexts of generation, transmission and distribution, reaching new levels of quality for these services. One of the main impacts that EPS have on current systems is in the context of energy generation The objectives of this work are to analyze and develop methods for predicting energy demand and supply in an SG in the context of Smart Gridsen_US
dc.identifier.citationAbdulazeez, M. G. (2023). Fault prediction in renewable energy based smart electric grid using artificial intelligence. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4509
dc.identifier.yoktezid812070
dc.institutionauthorAbdulazeez, Mshhain Ghazi
dc.language.isoen
dc.publisherAltınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsüen_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEPSen_US
dc.subjectEMSen_US
dc.subjectAIen_US
dc.subjectSGen_US
dc.subjectIENen_US
dc.titleFault prediction in renewable energy based smart electric grid using artificial intelligence
dc.typeMaster Thesis

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