Probabilistic occupancy forecasting for risk-aware optimal ventilation through autoencoder Bayesian deep neural networks

Ventilation plays a noteworthy role in maintaining a healthy, comfortable and energy-efficient indoor environment and mitigating the risk of aerosol transmission and disease infection (e.g., SARS-COV-2). In most commercial and office buildings, demand-controlled ventilation (DCV) systems are widely...

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Vydané v:	Building and environment Ročník 219; s. 109207
Hlavní autori:	Zhuang, Chaoqun, Choudhary, Ruchi, Mavrogianni, Anna
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2022 The Authors. Published by Elsevier Ltd
Predmet:	Autoencoder Bayesian deep neural network COVID-19 Occupancy prediction Ventilation Occupancy prediction COVID-19 Ventilation Bayesian deep neural network Autoencoder
ISSN:	0360-1323, 1873-684X
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