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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Published in | Results in engineering Vol. 22; p. 102148 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.06.2024
Elsevier |
Subjects | |
Online Access | Get full text |
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