Machine Learning-Based Indoor Relative Humidity and CO<sub>2</sub> Identification Using a Piecewise Autoregressive Exogenous Model: A Cob Prototype Study

Machine Learning-Based Indoor Relative Humidity and CO<sub>2</sub> Identification Using a Piecewise Autoregressive Exogenous Model: A Cob Prototype Study

The population of developed nations spends a significant amount of time indoors, and the implications of poor indoor air quality (IAQ) on human health are substantial. Many premature deaths attributed to exposure to indoor air pollutants result from diseases exacerbated by poor indoor air. CO<sub...

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Bibliographic Details
Main Authors: Mohammed-Hichem Benzaama, Karim Touati, Yassine El Mendili, Malo Le Guern, François Streiff, Steve Goodhew
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Energies
Subjects:
indoor air quality
indoor relative humidity
cob
prediction
artificial neural network
PWARX model
Online Access:https://www.mdpi.com/1996-1073/17/1/243

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https://www.mdpi.com/1996-1073/17/1/243

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