[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 comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine …
Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
Experimental study on optimized using activated agricultural wastes at hemispherical solar still for different types of water
The subsequent work aims to improve freshwater production and reduce the cost of
generated water with little energy expenditure. Thermo-economic performance, hourly and …
generated water with little energy expenditure. Thermo-economic performance, hourly and …
Development of optimized machine learning models for predicting flat plate solar collectors thermal efficiency associated with Al2O3-water nanofluids
Predictions of thermal performance (η) of flat plate solar collectors (FPSCs) can provide
essential information for diverse engineering applications such as thermal and energy …
essential information for diverse engineering applications such as thermal and energy …
Performance enhancement of hemispherical distillers using copper chips and paraffin wax as energy storage integrated with an external condenser
SW Sharshir, AA Tareemi, MM Elsayad - Journal of Energy Storage, 2024 - Elsevier
Three hemispherical solar still (HSS) models were compared in this study: a conventional
(CHSS), one modified (MHSS) to use various types of heat storage materials, and the latter …
(CHSS), one modified (MHSS) to use various types of heat storage materials, and the latter …
Artificial neural network and differential evolution optimization of a circulated permeate gap membrane distillation unit
This study integrated an artificial neural network (ANN) model with a differential evolution
(DE) optimization algorithm for cost optimization of a novel multi-stage permeate gap …
(DE) optimization algorithm for cost optimization of a novel multi-stage permeate gap …
Hybrid photovoltaic/thermal performance prediction based on machine learning algorithms with hyper-parameter tuning
ABSTRACT A hybrid Photovoltaic/Thermal (PV/T) approach is proposed in this study based
on extensive research and a comparative analysis of several hyperparameter tuning …
on extensive research and a comparative analysis of several hyperparameter tuning …
Experimental investigation on the performance analysis of blue metal stones and pebble stones as thermal energy storage materials in single slope solar still
Solar stills that use blue metal stones and Pebble stones to store heat are the subject of
experimental studies and theoretical studies. Three identical solar stills measure 1 m 2 …
experimental studies and theoretical studies. Three identical solar stills measure 1 m 2 …
Experimental and numerical analysis of the effective parameters on desalinated water flow in a stepped solar still
Freshwater is an essential resource due to climate change, population growth, and
groundwater contamination. The seas and oceans contain a lot of valuable saltwater. One of …
groundwater contamination. The seas and oceans contain a lot of valuable saltwater. One of …
Deep Neural Networks Based Modeling to Optimize Water Productivity of a Passive Solar Still
Solar stills (SSs) have emerged as highly efficient solutions for converting saline or
contaminated water into potable water, addressing a critical need for water purification. This …
contaminated water into potable water, addressing a critical need for water purification. This …