Quantitative Analysis of Solar Photovoltaic Panel Performance with Size-Varied Dust Pollutants Deposition Using Different Machine Learning Approaches

Quantitative Analysis of Solar Photovoltaic Panel Performance with Size-Varied Dust Pollutants Deposition Using Different Machine Learning Approaches

In this paper, the impact of dust deposition on solar photovoltaic (PV) panels was examined, using experimental and machine learning (ML) approaches for different sizes of dust pollutants. The experimental investigation was performed using five different sizes of dust pollutants with a deposition de...

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Bibliographic Details
Main Authors: Abhishek Kumar Tripathi, Mangalpady Aruna, Elumalai Perumal Venkatesan, Mohamed Abbas, Asif Afzal, Saboor Shaik, Emanoil Linul
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Molecules
Subjects:
PV panel
dust size
output power
machine learning
support vector machine regression
Gaussian regression
Online Access:https://www.mdpi.com/1420-3049/27/22/7853

Internet

https://www.mdpi.com/1420-3049/27/22/7853

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