Time series-based PM2.5 concentration prediction in Jing-Jin-Ji area using machine learning algorithm models

Time series-based PM2.5 concentration prediction in Jing-Jin-Ji area using machine learning algorithm models

Globally all countries encounter air pollution problems along their development path. As a significant indicator of air quality, PM2.5 concentration has long been proven to be affecting the population’s death rate. Machine learning algorithms proven to outperform traditional statistical approaches a...

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Bibliographic Details
Main Authors: Xin Ma, Tengfei Chen, Rubing Ge, Caocao Cui, Fan Xu, Qi Lv
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Heliyon
Subjects:
Jing-Jin-Ji city group
PM2.5 prediction
Lasso regression
Gradient boosting
Linear SVR
K-Nearest Neighbor
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402201979X

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http://www.sciencedirect.com/science/article/pii/S240584402201979X

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