A Machine Learning-Based Ensemble Framework for Forecasting PM<sub>2.5</sub> Concentrations in Puli, Taiwan

A Machine Learning-Based Ensemble Framework for Forecasting PM<sub>2.5</sub> Concentrations in Puli, Taiwan

Forecasting of PM<sub>2.5</sub> concentration is a global concern. Evidence has shown that the ambient PM<sub>2.5</sub> concentrations are harmful to human health, climate change, plant species mortality, etc. PM<sub>2.5</sub> concentrations are caused by natural...

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Bibliographic Details
Main Authors: Peng-Yeng Yin, Alex Yaning Yen, Shou-En Chao, Rong-Fuh Day, Bir Bhanu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
PM<sub>2.5</sub>
short-term learning
long-term learning
multi-model framework
forecast
Online Access:https://www.mdpi.com/2076-3417/12/5/2484

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https://www.mdpi.com/2076-3417/12/5/2484

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