Results 221 to 230 of about 34,257 (290)

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

open access: yesEnergy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe   +3 more
wiley   +1 more source

Influence of Technological and Environmental Factors on the Major Ion Composition in Cooling Water Discharges of a Nuclear Power Plant

open access: yesEnergy Science &Engineering, EarlyView.
Statistical modelling and grey water footprint analysis revealed how technological and environmental factors shape the major ion composition of cooling water discharges from a nuclear power plant. Findings highlight that while ion concentrations increase post‐discharge, they remain within regulatory limits, ensuring minimal ecological impact.
Olha Biedunkova   +3 more
wiley   +1 more source

Full Science, Technology, Engineering, Arts and Mathematics Ahead: Leveraging Immersive Virtual Reality to Create Equitable and Transformative Learning Experiences

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT Immersive virtual reality (IVR) is widely promoted as a means of enriching learning in science, technology, engineering, arts and mathematics (STEAM), yet evidence of its capacity to foster equitable classroom experiences for marginalised groups remains limited, particularly outside traditional STEM domains.
Carly Waterhouse‐Boot   +1 more
wiley   +1 more source

The equity of health service utilization in less developed areas of China: evidence from Gansu Province. [PDF]

open access: yesBMC Public Health
Zhou J   +12 more
europepmc   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime   +3 more
wiley   +1 more source

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