Time series analysis for predicting pm2.5 concentration in shanghai based on machine learning

HIGHLIGHTS

• What: Once the model is trained, it can be used to make real-time or regular PM2.5 concentration predictions, providing a scientific basis for urban air quality management and policy making.
• Who: Xuede Huang et al. from the MINNAN Univerity of science and technology, Quanzhou, China have published the Article: Time Series Analysis for Predicting PM2.5 Concentration in Shanghai based on Machine Learning, in the Journal: (JOURNAL)

SUMMARY

In recent years, machine_learning technology has been widely applied in the field of environmental science, especially in the analysis of time . . .

 



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