Assessment of the efficiency of shower wastewater heat exchangers using machine learning-based methods

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112062 - 112062

Published: Feb. 1, 2025

Language: Английский

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Smart Building Transferable Energy Scheduling Employing Reward Shaping Deep Reinforcement Learning with Demand Side Energy Management

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112316 - 112316

Published: March 1, 2025

Language: Английский

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Coupling Vertical Wall-attached Ventilation with PV-Trombe Wall: A Numerical Simulation Study

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112342 - 112342

Published: March 1, 2025

Language: Английский

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Machine learning-based prediction of indoor thermal comfort in traditional Chinese dwellings: A case study of Hankou Lifen

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 105048 - 105048

Published: Aug. 30, 2024

Language: Английский

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Machine learning-based assessment of thermal comfort for the elderly in warm environments: Combining the XGBoost algorithm and human body exergy analysis

International Journal of Thermal Sciences, Journal Year: 2024, Volume and Issue: 209, P. 109519 - 109519

Published: Nov. 9, 2024

Language: Английский

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Field study on adaptive comfort in a mixed mode university building located in the south of Europe

Energy and Buildings, Journal Year: 2025, Volume and Issue: 329, P. 115278 - 115278

Published: Jan. 10, 2025

Language: Английский

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Adaptive thermal comfort models comparison in dry and rainy seasons: A tropical climate case

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115382 - 115382

Published: Jan. 1, 2025

Language: Английский

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Machine learning-based prediction of thermal comfort: exploring building types, climate, ventilation strategies, and seasonal variations

Building Research & Information, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: Feb. 15, 2025

Language: Английский

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Assessment and prediction of pedestrian thermal comfort through machine learning modelling in tropical urban climate of Nagpur City

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(6), P. 5607 - 5628

Published: April 13, 2024

Language: Английский

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Digital Twin-Enabled Building Information Modeling–Internet of Things (BIM-IoT) Framework for Optimizing Indoor Thermal Comfort Using Machine Learning

Buildings, Journal Year: 2025, Volume and Issue: 15(10), P. 1584 - 1584

Published: May 8, 2025

As the world moves toward a low-carbon future, key challenge is improving buildings’ energy performance while maintaining occupant thermal comfort. Emerging digital tools such as Internet of Things (IoT) and Building Information Modeling (BIM) offer significant potential, enabling precise monitoring control building systems. However, integrating these technologies into unified Digital Twin (DT) framework remains underexplored, particularly in relation to Additionally, real-world case studies are limited. This paper presents DT-based system that combines BIM IoT sensors monitor indoor comfort real time through an easy-to-use web platform. By using spatial geometric data along with real-time from sensors, visualizes simplified Predicted Mean Vote (sPMV) index. Furthermore, it also uses hybrid machine learning model Facebook Prophet Long Short-Term Memory (LSTM) predict future environmental parameters. The enables Model Predictive Control (MPC) providing managers scalable tool collect, analyze, visualize, optimize time.

Language: Английский

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