Ensemble streamflow forecasting based on variational mode decomposition and long short term memory

Reliable and accurate streamflow forecasting plays a vital role in the optimal management of water resources. To improve the stability and accuracy of streamflow forecasting, a hybrid decomposition-ensemble model named VMD-LSTM-GBRT, which is sensitive to sampling, noise and long historical changes...

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Detalles Bibliográficos
Autores principales: Sun, Xiaomei, Zhang, Haiou, Wang, Jian, Shi, Chendi, Hua, Dongwen, Li, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752851/
https://www.ncbi.nlm.nih.gov/pubmed/35017569
http://dx.doi.org/10.1038/s41598-021-03725-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752851/
https://www.ncbi.nlm.nih.gov/pubmed/35017569
http://dx.doi.org/10.1038/s41598-021-03725-7

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