Deep learning and statistical approaches for area-based PM2.5 forecasting in Hat Yai, Thailand

Deep learning and statistical approaches for area-based PM2.5 forecasting in Hat Yai, Thailand

Abstract PM2.5 pollution poses a significant environmental and health concern across Southeast Asia, including Thailand. This study aims to forecast area-based PM2.5 concentrations in Hat Yai city, Songkhla province, using daily data collected from the Hat Yai monitoring station from 2013 to 2023. T...

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Bibliographic Details
Main Authors: Kasikrit Damkliang, Jularat Chumnaul
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:Journal of Big Data
Subjects:
Area-based PM2.5 forecasting
ConvLSTM1D-BiLSTM
Deep learning
Machine learning
Sliding window configuration
Southern Thailand
Online Access:https://doi.org/10.1186/s40537-025-01079-9
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https://doi.org/10.1186/s40537-025-01079-9

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