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...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Sidra Abbas, Shtwai Alsubai, Gabriel Avelino Sampedro, Mideth Abisado, Ahmad Almadhor, Tai-hoon Kim
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	PeerJ Inc. 2024-02-01
Ráidu:	PeerJ Computer Science
Fáttát:	Thermal comfort Smart buildings Federated deep learning Machine learning Privacy
Liŋkkat:	https://peerj.com/articles/cs-1899.pdf
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!