[HTML][HTML] A new optimized artificial neural network model to predict thermal efficiency and water yield of tubular solar still
Tubular solar still is a simple light-weight desalination unit with a large condensing surface
compared with other types of solar stills. Regrettably, it suffers from the low water yield like …
compared with other types of solar stills. Regrettably, it suffers from the low water yield like …
[HTML][HTML] 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 …
An enhanced productivity prediction model of active solar still using artificial neural network and Harris Hawks optimizer
In this paper, a new productivity prediction model of active solar still was developed
depending on improving the performance of the traditional artificial neural networks using …
depending on improving the performance of the traditional artificial neural networks using …
Prediction of tubular solar still performance by machine learning integrated with Bayesian optimization algorithm
Y Wang, AW Kandeal, A Swidan, SW Sharshir… - Applied Thermal …, 2021 - Elsevier
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 …
[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 …
Utilization of LSTM neural network for water production forecasting of a stepped solar still with a corrugated absorber plate
This study introduces a long short-term memory (LSTM) neural network model to forecast the
freshwater yield of a stepped solar still and a conventional one. The stepped solar still was …
freshwater yield of a stepped solar still and a conventional one. The stepped solar still was …
A proper model to predict energy efficiency, exergy efficiency, and water productivity of a solar still via optimized neural network
In this research, the proper models are developed to simultaneously predict the energy
efficiency, exergy efficiency, and water productivity of a single-slope solar still via an Artificial …
efficiency, exergy efficiency, and water productivity of a single-slope solar still via an Artificial …
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 developing an …
ultrasound waves atomizer (HFUWA) as a humidifier was predicted through developing an …
Using neural network optimized by imperialist competition method and genetic algorithm to predict water productivity of a nanofluid-based solar still equipped with …
The water productivity of a new nanofluid-based solar still is modeled in terms of the solar
radiation, fan power, ambient temperature, glass temperature, water temperature, basin …
radiation, fan power, ambient temperature, glass temperature, water temperature, basin …
A coupled artificial neural network with artificial rabbits optimizer for predicting water productivity of different designs of solar stills
In this study, a coupled multi-layer perceptrons (MLP) model with an artificial rabbits
optimizer (ARO) is developed to predict the water productivity of different designs of solar …
optimizer (ARO) is developed to predict the water productivity of different designs of solar …