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Intelligent Global Maximum Power Point Tracking using Neighboring Pixel Algorithm and classification and regression trees assisted Virtual Imaging under partial shading conditions
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DOI：10.1016/j.egyai.2026.100849.png)
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Abstract
En 中文
• Novel Maximum Power Point Tracking using Neighboring Pixel Algorithm. • Classification and Regression Tree classifies partial shading in real time. • Image-driven Global Maximum Power Point prediction without Artificial Intelligence. • Implemented on Raspberry Pi for real-time photovoltaic energy harvesting. • Achieved 99.9 percentage Global Maximum Power Point tracking in 5–10 milliseconds.
Keywords:
Virtual Imaging
Neighboring Pixel Algorithm
Classification and regression trees
Global Maximum Power Point Tracking
Partial shading
Real-time digital image processing
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