Spatiotemporal prediction of O(3) concentration based on the KNN-Prophet-LSTM model

In this paper, a prediction method based on the KNN-Prophet-LSTM hybrid model is established by using the daily pollutant concentration data of Wuhan from January 1, 2014, to May 3, 2021, and considering the characteristics of time and space. First, the data are divided into trend items, periodic it...

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Detalles Bibliográficos
Autores principales: Zhang, Biao, Song, Chao, Li, Ying, Jiang, Xuchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712550/
https://www.ncbi.nlm.nih.gov/pubmed/36468093
http://dx.doi.org/10.1016/j.heliyon.2022.e11670

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712550/
https://www.ncbi.nlm.nih.gov/pubmed/36468093
http://dx.doi.org/10.1016/j.heliyon.2022.e11670

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