The role of catalyst in hydrogen production: A critical review
The increasing demand for hydrogen as an energy carrier requires the development of
efficient and sustainable production strategies. Methane reforming is a widely used method …
efficient and sustainable production strategies. Methane reforming is a widely used method …
[HTML][HTML] Reliable prediction of solar photovoltaic power and module efficiency using Bayesian surrogate assisted explainable data-driven model
This study proposes a Bayesian surrogate-driven explainable deep neural network model to
predict and interpret the module efficiency and maximum output power of three commercially …
predict and interpret the module efficiency and maximum output power of three commercially …
[HTML][HTML] Develo** an experiment-based strong machine learning model for performance prediction and full analysis of Maisotsenko dewpoint evaporative air cooler
Among all direct and indirect water-based evaporative air coolers, Maisotsenko indirect
evaporative cooler (MIEC) is the only one which can supply sub wet-bulb air temperature …
evaporative cooler (MIEC) is the only one which can supply sub wet-bulb air temperature …
[HTML][HTML] Robustness estimation for state-of-charge of a lithium-ion battery based on feature fusion
B **a, M Ye, Q Wang, G Lian, Y Li, B Zhang, Y Zhang - Energy Reports, 2024 - Elsevier
State of charge (SOC) of the lithium-ion battery stands as one of the crucial parameters of
the battery management system. To enhance the robustness and accuracy of data-driven …
the battery management system. To enhance the robustness and accuracy of data-driven …
[PDF][PDF] Results in Engineering
AKA Ahmed, S Sharmin, SA Kuldeep, A Lameesa… - researchgate.net
ABSTRACT The Internet of Medical Things (IoMT) offers real-time data insights, reduces
energy costs, and enhances patient comfort, presenting transformative potential for …
energy costs, and enhances patient comfort, presenting transformative potential for …