Machine learning-based predictive model for thermal comfort and energy optimization in smart buildings

Machine learning-based predictive model for thermal comfort and energy optimization in smart buildings

In the current context of energy transition and increasing climate change, optimizing building performance has become a critical objective. Efficient energy use and occupant comfort are paramount considerations in building design and operation. To address these challenges, this study introduces a pr...

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Bibliographic Details
Main Authors: Youssef Boutahri, Amine Tilioua
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Results in Engineering
Subjects:
Thermal comfort
Energy efficiency
HVAC systems
Machine learning
Model predictive control
Smart building
Online Access:http://www.sciencedirect.com/science/article/pii/S259012302400402X

Internet

http://www.sciencedirect.com/science/article/pii/S259012302400402X

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