10.15660/AUOFMTE.2024-1.3695
Muhammad Umer Jamil
umerluqman11@gmail.com
Volume XXXIII, 2024/1
This paper will examine the role of AI-driven optimization systems in improving solar panel efficiency and their integration with Smart Cyber-Physical Systems (CPS) in agriculture and industry. To address existing research gaps, the proposed solutions include AI-based cleaning mechanisms, advanced cooling systems, and enhanced machine learning algorithms tailored for extreme environmental conditions.
smart CPS solar cells bifacial ai optimization energy MATLAB simulation cooling system
ISSN 1583-0691, CNCSIS "Clasa B+"