Power Quality Improvement of Solar Energy System with Deep Neural Network Controller
Yazarlar (2)
Wisam Hazim Gwad
Prof. Dr. Aybaba HANÇERLİOĞULLARI Kastamonu Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (ESCI dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | ||
| Dergi ISSN | 1738-7906 | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2022 |
| Cilt / Sayı / Sayfa | 22 / 1 / 555–559 | DOI | 10.22937/IJCSNS.2022.22.1.72 |
| Makale Linki | https://www.webofscience.com/wos/woscc/full-record/WOS:000766169200022 | ||
| UAK Araştırma Alanları |
Nükleer Fizik
|
||
| 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 |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları |