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Edge-Intelligent Photovoltaic Fault Localization via NAS-Optimized Feature-Space Sub-Pixel Matching

Hongjiang Wang Jian Yu Tian Zhang Na Ren Nan Zhang Zhenyu Liu

Computers, Materials & Continua2026，Vol.87Issue(6)：P.1108-1135,28.

Computers, Materials & Continua2026，Vol.87Issue(6)：P.1108-1135,28.DOI:10.32604/cmc.2026.077997

Edge-Intelligent Photovoltaic Fault Localization via NAS-Optimized Feature-Space Sub-Pixel Matching

Hongjiang Wang ¹Jian Yu ²Tian Zhang ³Na Ren ⁴Nan Zhang ²Zhenyu Liu¹

作者信息

1. School of Information Science and Engineering,Shenyang University of Technology,Shenyang,China
2. School of Computer Science and Technology,Shenyang Institute of Engineering,Shenyang,China
3. College of Software,Northeastern University,Shenyang,China
4. School of Artificial Intelligence,Shenyang University of Technology,Shenyang,China
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摘要

关键词

Edge intelligence/neural architecture search/sub-pixel localization/feature-based matching/photovoltaic fault localization/industrial internet of things

分类

信息技术与安全科学

引用本文复制引用

Hongjiang Wang,Jian Yu,Tian Zhang,Na Ren,Nan Zhang,Zhenyu Liu..Edge-Intelligent Photovoltaic Fault Localization via NAS-Optimized Feature-Space Sub-Pixel Matching[J].Computers, Materials & Continua,2026,87(6):P.1108-1135,28.

基金项目

supported by the Key R&D Projects of Liaoning Provincial Department of Science and Technology:Research on Fault Monitoring and Catastrophe Prediction Technologies for New Energy Power Stations Oriented to Wind-Solar-Storage Complementary Systems(2024JH2/102500074). （2024JH2/102500074）

Computers, Materials & Continua

ISSN：1546-2218

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