Ensemble Machine Learning, Deep Learning, and Time Series Forecasting: Improving Prediction Accuracy for Hourly Concentrations of Ambient Air Pollutants
Abstract This study aims to improve the generalisation capabilities of machine learning models for modelling hourly air pollutant concentrations in scenarios where access to high-quality data is limited. A diverse set of techniques was implemented to tackle this challenge, encompassing the utilisati...
Guardat en:
| Autors principals: | , , , , , , , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2024-09-01
|
| Col·lecció: | Aerosol and Air Quality Research |
| Matèries: | |
| Accés en línia: | https://doi.org/10.4209/aaqr.230317 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|