Modelling and Forecasting Temporal PM2.5 Concentration Using Ensemble Machine Learning Methods

Our models show that machine learning models are efficient in predicting air particulate concentrations, and can be used for air pollution forecasting. This study also provides insights into how climatic factors influence the concentrations of pollutants found in the air. Read here: https://www.mdpi.com/2075-5309/12/1/46