Modelling and Forecasting Temporal PM2.5 Concentration Using Ensemble Machine Learning Methods
(2022)
Journal Article
Ejohwomu, O. A., Shamsideen Oshodi, O., Oladokun, M., Bukoye, O. T., Emekwuru, N., Sotunbo, A., & Adenuga, O. (in press). Modelling and Forecasting Temporal PM2.5 Concentration Using Ensemble Machine Learning Methods. Buildings, 12(1), 46. https://doi.org/10.3390/buildings12010046
Exposure of humans to high concentrations of PM2.5 has adverse effects on their health. Researchers estimate that exposure to particulate matter from fossil fuel emissions accounted for 18% of deaths in 2018—a challenge policymakers argue is being ex...
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