Harnessing the sun: Framework for development and performance evaluation of AI-driven solar tracker for optimal energy harvesting

Harnessing the sun: Framework for development and performance evaluation of AI-driven solar tracker for optimal energy harvesting

This research explores advanced methodologies to enhance the performance and efficiency of solar tracking systems by developing the Solar Tracking and Analysis Research (S.T.A.R.) framework. The study begins with designing and implementing both open and closed loop solar tracking systems, collecting...

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Bibliographic Details
Main Authors: A M Almas Shahriyar Azad, Khaled Mohammad Shifullah Bhuiya, Sumaiya Rashid Shoshi, Jubayer Rahman Jamal, Sabbir Ahmed Udoy, Sadman Zilani, Abdullah Hawlather, Mehedi Hasan, Tabassum Roaidah Azad
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Energy Conversion and Management: X
Subjects:
Solar tracking systems
Multi-Objective Genetic Algorithm (MOGA)
Adaptive Neuro-Fuzzy Inference System (ANFIS)
Open and closed loop solar trackers
Artificial Intelligence (AI) based solar tracking
Control systems
Online Access:http://www.sciencedirect.com/science/article/pii/S2590174525001229
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