Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM

Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM

With urbanization and increasing consumption, there is a growing need to prioritize sustainable development across various industries. Particularly, sustainable development is hindered by air pollution, which poses a threat to both living organisms and the environment. The emission of combustion gas...

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Bibliographic Details
Main Authors: Rasoul Ameri, Chung-Chian Hsu, Shahab S. Band, Mazdak Zamani, Chi-Min Shu, Sajad Khorsandroo
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Air quality monitoring
PM 2.5 concentrations
LSTM
Forecasting
Online Access:http://www.sciencedirect.com/science/article/pii/S014765132301076X

Internet

http://www.sciencedirect.com/science/article/pii/S014765132301076X

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