Hybrid Machine Learning-Driven Automated Quality Prediction and Classification of Silicon Solar Modules in Production Lines

Hybrid Machine Learning-Driven Automated Quality Prediction and Classification of Silicon Solar Modules in Production Lines

This research introduces a novel hybrid machine learning framework for automated quality prediction and classification of silicon solar modules in production lines. Unlike conventional approaches that rely solely on encapsulation loss rate (<i>ELR</i>) for performance evaluation—a method...

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Bibliographic Details
Main Authors: Yuxiang Liu, Xinzhong Xia, Jingyang Zhang, Kun Wang, Bo Yu, Mengmeng Wu, Jinchao Shi, Chao Ma, Ying Liu, Boyang Hu, Xinying Wang, Bo Wang, Ruzhi Wang, Bing Wang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Computation
Subjects:
machine learning
solar module
encapsulation loss rate
energy
Online Access:https://www.mdpi.com/2079-3197/13/5/125
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