Sun Tracking System Based On Neural Network
الكلمات المفتاحية:
photovoltaic tracking system، artificial neural network application، intelligent system designالملخص
The design and simulation of compatible controllers depending on the neural network were discussed in this paper. A new model of neural network and a new type of neural controller will be proposed aiming to reduce the complexity without sacrificing the efficiency of the traditional type. More complex neural-based solar tracker. The proposed technique reduces the disadvantages which appear in the traditional systems. In addition, the goal of this paper is based on solar plant systems for testing purposes and to develop a useable technology for the ever-growing demand for green power.
التنزيلات
Key Dates
منشور
2013-12-01
إصدار
القسم
Articles
الرخصة
هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.
The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
Creative Commons-Attribution (BY) 
كيفية الاقتباس
Shaker Tahir, F. ., & Khalaf Mohammed, J. (2013). Sun Tracking System Based On Neural Network. مجلة الهندسة والتنمية المستدامة, 17(6), 123-133. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1031
