Application of machine learning modeling in prediction of solar still performance: A comprehensive survey

Author:

Abdullah A.S.,Joseph Abanob,Kandeal A.W.,Alawee Wissam H.,Peng Guilong,Thakur Amrit Kumar,Sharshir Swellam W.

Funder

Prince Sattam bin Abdulaziz University

Stichting Volksbond Rotterdam

Office of Defense Nuclear Nonproliferation

Publisher

Elsevier BV

Reference128 articles.

1. Investigation of factors affecting rural drinking water consumption using intelligent hybrid models;Bashar;Water Sci. Eng.,2023

2. Research progress on recent technologies of water harvesting from atmospheric air: a detailed review;Kandeal;Sustain. Energy Technol. Assessments,2022

3. Augmented performance of tubular solar still integrated with cost-effective nano-based mushrooms;Sharshir;Sol. Energy,2021

4. Engineered nanomaterials for water decontamination and purification: from lab to products;Khan;J. Hazard Mater.,2019

5. The measurement of water scarcity: defining a meaningful indicator;Damkjaer;Ambio,2017

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