Comparative analysis dust accumulation impact on PV performance using artificial neural network and machine learning algorithms

Comparative analysis dust accumulation impact on PV performance using artificial neural network and machine learning algorithms

This paper presents a comparative study on artificial neural networks (ANN) and machine learning (ML)-based modelling approaches on experimental data to predict the power output of photovoltaic (PV) systems with the aerosol impact on different types of dust samples such as chalks powder, fly ash, ri...

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Bibliographic Details
Main Authors: Ashutosh Shukla, Rupendra Kumar Pachauri, Athar Hussain, Ahmed Ali, Baseem Khan
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Photovoltaic system
Dust effect
Neural network
Support vector regression
Power loss
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025010990
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