Time series AQI forecasting using Kalman-integrated Bi-GRU and Chi-square divergence optimization

Time series AQI forecasting using Kalman-integrated Bi-GRU and Chi-square divergence optimization

Abstract Air pollution has become a pressing global concern, demanding accurate forecasting systems to safeguard public health. Existing AQI prediction models often falter due to missing data, high variability, and limited ability to handle distributional uncertainty. This study introduces a novel d...

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Main Authors: Narmeen Fatima, Samia Nawaz Yousafzai, Nadhem Nemri, Hadeel Alsolai, Shouki A. Ebad, Shaymaa Sorour, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
AQI
Air pollutants
Regression
GRU
Kalman filter
Kalman-attention
Online Access:https://doi.org/10.1038/s41598-025-12422-8
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https://doi.org/10.1038/s41598-025-12422-8

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