Comparative investigation of imaging techniques, pre-processing and visual fault diagnosis using artificial intelligence models for solar photovoltaic system – A comprehensive review-Reference-Cited by-同舟云学术

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Comparative investigation of imaging techniques, pre-processing and visual fault diagnosis using artificial intelligence models for solar photovoltaic system – A comprehensive review

Published:2024-06 Issue: Volume:232 Page:114683
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Balachandran Gurukarthik Babu,Devisridhivyadharshini M.,Ramachandran Muthu Eshwaran,Santhiya R.

Publisher

Elsevier BV

Reference90 articles.

1. Population density and energy consumption: A study in Indonesian provinces;Muzayanah;Heliyon,2022

2. A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent;Owusu;Engineering,2016

3. Improvising the efficiency of single-sloped solar still using thermally conductive nano-ferric oxide;Balachandran;Environ. Sci. Pollut. Res.,2020

4. Solar energy technology and its roles in sustainable development;Maka;Clean Energy,2022

5. Fault detection in PV systems;Jenitha;Applied Solar Energy (english Translation of Geliotekhnika),2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Photovoltaic Fault Diagnosis Method Integrating Photovoltaic Power Prediction and EWMA Control Chart;Energies;2024-08-26

2. Rasterized Data Image Processing (RDIP) Techniques for Photovoltaic (PV) Data Cleaning and Application in Power Prediction;Energies;2024-06-18

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