Forecasting the concentration of NO2 using statistical and machine learning methods: A case study in the UAE

Forecasting the concentration of NO2 using statistical and machine learning methods: A case study in the UAE

Nitrogen dioxide (NO2) is the most active pollutant gas emitted in the industrial era and is highly correlated with human activities. Tracking NO2 emissions and predicting their concentrations represent important steps toward controlling pollution and setting rules to protect people's health in...

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Bibliographic Details
Main Authors: Aishah Al Yammahi, Zeyar Aung
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Heliyon
Subjects:
Machine learning
ARIMA
SARIMA
LSTM
NAR
Classical statistics
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022038725

Internet

http://www.sciencedirect.com/science/article/pii/S2405844022038725

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