Occupancy heat gain detection and prediction using deep learning approach for reducing building energy demand
The use of fixed or scheduled setpoints combined with varying occupancy patterns in buildings could lead to spaces being over or under-conditioned, which may lead to significant waste in energy consumption. The present study aims to develop a vision-based deep learning method for real-time occupancy...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
SDEWES Centre
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/666ffb3b601a4ba6b268a36b46d25813 |
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