Prediction of PM<sub>10</sub> Concentration in Malaysia Using K-Means Clustering and LSTM Hybrid Model

Prediction of PM<sub>10</sub> Concentration in Malaysia Using K-Means Clustering and LSTM Hybrid Model

Following the rapid development of various industrial sectors, air pollution frequently occurs in every corner of the world. As a dominant pollutant in Malaysia, particulate matter PM<sub>10</sub> can cause highly detrimental effects on human health. This study aims to predict the daily...

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Bibliographic Details
Main Authors: Noratiqah Mohd Ariff, Mohd Aftar Abu Bakar, Han Ying Lim
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Atmosphere
Subjects:
air quality
forecasting
hybrid model
PM<sub>10</sub>
time series clustering
k-means
Online Access:https://www.mdpi.com/2073-4433/14/5/853

Internet

https://www.mdpi.com/2073-4433/14/5/853

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