Bayesian filtering for building occupancy estimation from carbon dioxide concentration

Bayesian filtering for building occupancy estimation from carbon dioxide concentration

This paper proposes a new framework based on Bayesian filtering for building occupancy estimation from the observation of carbon dioxide concentration. The proposed framework can fuse a statistical model and an observation model for better occupancy estimation. The statistical model can capture the...

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Bibliographic Details
Main Authors: Jiang, Chaoyang, Chen, Zhenghua, Su, Rong, Masood, Mustafa Khalid, Soh, Yeng Chai
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
Bayesian Filtering
Inhomogeneous Markov Model
Online Access:https://hdl.handle.net/10356/159609

Internet

https://hdl.handle.net/10356/159609

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