Using multiple machine learning techniques to enhance the performance prediction of heat pump-driven solar desalination unit

Using multiple machine learning techniques to enhance the performance prediction of heat pump-driven solar desalination unit

Solar stills are sustainable devices that generate freshwater through solar-powered desalination. However, traditional solar stills often struggle with variability in environmental conditions. This study proposes a predictive model using machine learning (ML) techniques to improve the accuracy and a...

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Bibliographic Details
Main Authors: Swellam W. Sharshir, Abanob Joseph, Mohamed S. Abdalzaher, A.W. Kandeal, A.S. Abdullah, Zhanhui Yuan, Huizhong Zhao, Mahmoud M. Salim
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Desalination and Water Treatment
Subjects:
Active solar still
Heat pump
Sustainability
Machine learning
Prediction modelling
Extra trees
Online Access:http://www.sciencedirect.com/science/article/pii/S1944398624204264
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http://www.sciencedirect.com/science/article/pii/S1944398624204264

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