Estimating PV Soiling Loss Using Panel Images and a Feature-Based Regression Model-Reference-Cited by-同舟云学术

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Estimating PV Soiling Loss Using Panel Images and a Feature-Based Regression Model

Published:2024-07 Issue:4 Volume:14 Page:661-668
ISSN:2156-3381
Container-title:IEEE Journal of Photovoltaics
language:
Short-container-title:IEEE J. Photovoltaics

Author:

Yang Mingda¹^ORCID,Javed Wasim²^ORCID,Guo Bing³^ORCID,Ji Jim¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA

2. Department of Energy Systems Engineering, Punjab Bio-Energy Institute, University of Agriculture, Faisalabad, Pakistan

3. Mechanical Engineering Program, Texas A&M University at Qatar, Doha, Qatar

Funder

Responsive Research Seed

Texas A&M University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5503869/10566077/10517757.pdf?arnumber=10517757

Reference42 articles.

1. Review of fossil fuels and future energy technologies

2. Net zero by 2050: A roadmap for the global energy sector;Bouckaert,2021

3. Renewable capacity statistics 2022,2022

4. A Review of Factors Affecting the Efficiency and Output of a PV System Applied in Tropical Climate

5. Power loss due to soiling on solar panel: A review

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. DGImNet: A deep learning model for photovoltaic soiling loss estimation;Applied Energy;2024-12

2. Cell-Resolved PV Soiling Measurement Using Drone Images;Remote Sensing;2024-07-17

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