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[HTML][HTML] Application of machine learning modeling in prediction of solar still performance: A comprehensive survey
Being a cheap, simple, and low-energy consumer, solar stills have been introduced by water
and energy scientists as an alternative desalination method to fossil fuel-based ones. A wide …
and energy scientists as an alternative desalination method to fossil fuel-based ones. A wide …
A review on state-of-the-art applications of data-driven methods in desalination systems
The substitution of conventional mathematical models with fast and accurate modeling tools
can result in the further development of desalination technologies and tackling the need for …
can result in the further development of desalination technologies and tackling the need for …
Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization
Today artificial intelligence is a major utility technology that can help industry and research
in many fields, including solar thermal energy for water desalination purposes. Hence, the …
in many fields, including solar thermal energy for water desalination purposes. Hence, the …
Performance prediction of aluminum and polycarbonate solar stills with air cavity using an optimized neural network model by golden jackal optimizer
Solar stills (SS) are simple eco-friendly desalination devices that exploit solar energy to
obtain freshwater from seawater. In this study, a hybrid artificial intelligence model is …
obtain freshwater from seawater. In this study, a hybrid artificial intelligence model is …
Experimental analysis of innovative designs for solar still desalination technologies; an in-depth technical and economic assessment
Impact of using side mirrors and sun tracking on enhancing the performance of a solar still in
both passive and active modes is investigated in details by employing the recorded …
both passive and active modes is investigated in details by employing the recorded …
Prediction of tubular solar still performance by machine learning integrated with Bayesian optimization algorithm
In this study, accurate and convenient prediction models of tubular solar still performance,
expressed as hourly production, were developed by utilizing machine learning. Based on …
expressed as hourly production, were developed by utilizing machine learning. Based on …
Revealing prediction of perched cum off-centered wick solar still performance using network based on optimizer algorithm
A sincere effort has been made to engineer a perched cum off-centered wick solar still
(PCWSS) in the present work. The daily average efficiency with hourly prediction distillate …
(PCWSS) in the present work. The daily average efficiency with hourly prediction distillate …
Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system
An enhanced design for a solar still desalination system which has been proposed in the
previously conducted study of the research team is considered here, and the experimental …
previously conducted study of the research team is considered here, and the experimental …
Energy, exergy, economic and environmental evaluation of solar desalination system comprising different enhanced surface absorber plates
In the present work, energy, exergy, economic and environmental evaluation of single slope
solar still (SS) using multiple enhancement techniques namely, sandblasting, milling, and …
solar still (SS) using multiple enhancement techniques namely, sandblasting, milling, and …
Performance prediction of solar still with a high-frequency ultrasound waves atomizer using random vector functional link/heap-based optimizer
In this work, the thermal performance of a single slop solar still (SS) using a high-frequency
ultrasound waves atomizer (HFUWA) as a humidifier was predicted through develo** an …
ultrasound waves atomizer (HFUWA) as a humidifier was predicted through develo** an …