Privacy preserved and decentralized thermal comfort prediction model for smart buildings using federated learning
Thermal comfort is a crucial element of smart buildings that assists in improving, analyzing, and realizing intelligent structures. Energy consumption forecasts for such smart buildings are crucial owing to the intricate decision-making processes surrounding resource efficiency. Machine learning (ML...
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| Hoofdauteurs: | , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
PeerJ Inc.
2024-02-01
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| Reeks: | PeerJ Computer Science |
| Onderwerpen: | |
| Online toegang: | https://peerj.com/articles/cs-1899.pdf |
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