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

Proposal of a Methodology for Prediction of Indoor PM<sub>2.5</sub> 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<sub>2.5</sub> concentration through a multiple li...

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Bibliographic Details
Main Authors: Shin-Young Park, Dan-Ki Yoon, Si-Hyun Park, Jung-In Jeon, Jung-Mi Lee, Won-Ho Yang, Yong-Sung Cho, Jaymin Kwon, Cheol-Min Lee
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Toxics
Subjects:
indoor PM<sub>2.5</sub>
dwelling
outdoor variables
time
multiple linear regression
prediction model
Online Access:https://www.mdpi.com/2305-6304/11/6/526

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