Performance Evaluation of AI-Based Time Series Prediction Models for Predicting Odorous Substance Concentrations in a Residential-Industrial Complex

Odor is an air pollutant that causes discomfort and is increasingly becoming a source of public complaints, particularly around urban industrial complexes. As such, there is a growing need for technologies and management systems that can predict and manage odor occurrences in advance. This study inv...

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Bibliographic Details

Published in:	대한환경공학회지
Main Authors:	Song-eun Lee, Ahyeon Jeong, Yewon Jo, Seyoon Jeong, Seongjun Kim, Yong-Gyun Park
Format:	Article
Language:	English
Published:	Korean Society of Environmental Engineers 2025-08-01
Subjects:	odor prediction time series prediction machine learning deep learning safety management
Online Access:	http://www.jksee.or.kr/upload/pdf/KSEE-2025-47-8-572.pdf