Integrated Approach for Dust Identification and Deep Learning-Based Classification of Photovoltaic Panels
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0327-2_8
Reference14 articles.
1. Kazem HA (2023) Dust impact on the performance of solar photovoltaic module: a new prospect. Energy Sour Part A Rec Util Environ Effects 45(2):4087–4106
2. Sayyah A, Horenstein MN, Mazumder MK (2014) Energy yield loss caused by dust deposition on photovoltaic panels. Sol Energy 107:576–604
3. Lakshmi KRC, Ramadas G (2022) Dust deposition’s effect on solar photovoltaic module performance: an experimental study in India’s tropical region. J Renew Mater 10:2133–2153
4. Tribak H, Zaz Y (2019) Dust soiling concentration measurement on solar panels based on image entropy. In: 2019 7th international renewable and sustainable energy conference (IRSEC). IEEE
5. Pivem T et al (2019) Application of a computer vision method for soiling recognition in photovoltaic modules for autonomous cleaning robots. Signal Image Process Int J 10(03):43–59
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