Forecasting of ozone concentrations using the Neural Prophet model: application to the Tunisian case
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s41207-023-00414-x.pdf
Reference31 articles.
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4. Du S, Li T, Yang Y, Horng SJ (2021) Deep air quality forecasting using hybrid deep learning framework. IEEE Trans Knowl Data Eng 33:2412–2424. https://doi.org/10.1109/TKDE.2019.2954510
5. Du J, Qiao F, Lu P, Yu L (2022) Forecasting ground-level ozone concentration levels using machine learning. Resour Conserv Recycl 184:106380. https://doi.org/10.1016/J.RESCONREC.2022.106380
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