Results 281 to 290 of about 1,592,262 (363)

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

open access: yesEnergy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem   +3 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

Integrating Remote Sensing and Machine Learning for Enhanced Surface Urban Heat Island Analysis and Its Impact on Building Energy Demand

open access: yesEnergy Science &Engineering, EarlyView.
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley   +1 more source

Religiosity and anxiety in relation to health-promoting attitudes toward COVID-19. [PDF]

open access: yesPostep Psychiatr Neurol
Orlof W   +4 more
europepmc   +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

<sup>18</sup>F- FDG PET Reveals a Nucleus Accumbens-Centered Metabolic Network Correlating With Clinical Severity in Anti-LGI1 Encephalitis. [PDF]

open access: yesMedComm (2020)
Nie B   +17 more
europepmc   +1 more source

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