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Power Quality Improvement of Solar Energy System with Deep Neural Network Controller   
Yazarlar (2)
Wisam Hazim Gwad
Prof. Dr. Aybaba HANÇERLİOĞULLARI Prof. Dr. Aybaba HANÇERLİOĞULLARI
Türkiye
Devamını Göster
Özet
High power quality ideally produces electrical power that is always available, completely pure and noise-free, has a sinusoidal waveform, and is always within voltage and frequency tolerances. In this paper, a new method is implemented on the solar energy system for improving the power quality based on the deep learning neural network. The model is implemented on Matlab 2021a version with Core i7, Intel. The different weather conditions are used and tested
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü ESCI dergilerinde yayınlanan tam makale
Dergi Adı INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY
Dergi ISSN 1738-7906 Wos Dergi
Dergi Tarandığı Indeksler ESCI
Makale Dili İngilizce
Basım Tarihi 01-2022
Cilt No 22
Sayı 1
Sayfalar 555 / 559
Doi Numarası 10.22937/IJCSNS.2022.22.1.72
Makale Linki https://www.webofscience.com/wos/woscc/full-record/WOS:000766169200022
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Power Quality Improvement of Solar Energy System with Deep Neural Network Controller

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