Kurnaz, SeferAbdulazeez, Mshhain Ghazi2024-01-072024-01-0720232023Abdulazeez, 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.https://hdl.handle.net/20.500.12939/4509The 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 Gridseninfo:eu-repo/semantics/openAccessEPSEMSAISGIENMaster Thesis812070