Fault prediction in renewable energy based smart electric grid using artificial intelligence
Yükleniyor...
Dosyalar
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The 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 Grids
Açıklama
Anahtar Kelimeler
EPS, EMS, AI, SG, IEN
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Abdulazeez, 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.
