[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 …
Enhancement and prediction of a stepped solar still productivity integrated with paraffin wax enriched with nano-additives
The present study deals with the emhancement of thermophysical properties of paraffin wax
using Silver nanoparticles and to study the feasibility of its application in a stepped solar still …
using Silver nanoparticles and to study the feasibility of its application in a stepped solar still …
Thermal performance prediction of a solar air heater with a C-shape finned absorber plate using RF, LR and KNN models of Machine learning
To predict the thermal performance of a solar air heater (SAH) with a C-shape finned
absorber panel, Machine Learning (ML) models, namely Random Forest (RF), Linear …
absorber panel, Machine Learning (ML) models, namely Random Forest (RF), Linear …
Energy, exergy, economic, and environmental prospects of solar distiller with three-vertical stages and thermo-storing material
Solar distillation emerges as a viable remedy for addressing water scarcity in both remote
and urban locales. However, its operational efficiency remains a limiting factor …
and urban locales. However, its operational efficiency remains a limiting factor …
Prediction of outlet air characteristics and thermal performance of a symmetrical solar air heater via machine learning to develop a model-based operational control …
This study develops reliable and robust machine learning (ML) models to predict the outlet
air temperature and humidity and thermal efficiency of a solar air heater (SAH). Also, the …
air temperature and humidity and thermal efficiency of a solar air heater (SAH). Also, the …
[HTML][HTML] Optimizing water resources for sustainable desalination: The integration of expert systems and solar energy in experimental applications
The integration of renewable energy sources with multi-energy systems present challenges
and opportunities to enhance sustainability. Among these, solar stills have emerged as a …
and opportunities to enhance sustainability. Among these, solar stills have emerged as a …
Thermal performance prediction of a V-trough solar water heater with a modified twisted tape using ANFIS, GLR, RT and SVM models of machine learning
Four distinct neural models were used to evaluate the efficiency of a V-trough solar water
heater (VTSWH) equipped with square-cut twisted tape (SCTT) and V-cut twisted tape …
heater (VTSWH) equipped with square-cut twisted tape (SCTT) and V-cut twisted tape …
Advancing sustainable renewable energy: XGBoost algorithm for the prediction of water yield in hemispherical solar stills
SA Sarow, HA Flayyih, M Bazerkan, LA Al-Haddad… - Discover …, 2024 - Springer
The increasing demand for clean water necessitates innovative approaches to optimize
water productivity through renewable energy systems. This study harnessed computer …
water productivity through renewable energy systems. This study harnessed computer …
[HTML][HTML] Forecasting sustainable water production in convex tubular solar stills using gradient boosting analysis
Water scarcity is an important global issue that necessitates the development of sufficient
and sustainable desalination technologies. This study forecasts the productivity of two solar …
and sustainable desalination technologies. This study forecasts the productivity of two solar …