Proposal of a Methodology for Prediction of Indoor PM(2.5) Concentration Using Sensor-Based Residential Environments Monitoring Data and Time-Divided Multiple Linear Regression Model

This study aims to propose an indoor air quality prediction method that can be easily utilized and reflects temporal characteristics using indoor and outdoor input data measured near the indoor target point as input to calculate indoor PM(2.5) concentration through a multiple linear regression model...

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Detalles Bibliográficos
Autores principales: Park, Shin-Young, Yoon, Dan-Ki, Park, Si-Hyun, Jeon, Jung-In, Lee, Jung-Mi, Yang, Won-Ho, Cho, Yong-Sung, Kwon, Jaymin, Lee, Cheol-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304647/
https://www.ncbi.nlm.nih.gov/pubmed/37368626
http://dx.doi.org/10.3390/toxics11060526

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304647/
https://www.ncbi.nlm.nih.gov/pubmed/37368626
http://dx.doi.org/10.3390/toxics11060526

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