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Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method

Fan, Ming / Liu, Siyan / Lu, Dan

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Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method

Fan, Ming / Liu, Siyan / Lu, Dan

Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method

Fan, Ming / Liu, Siyan / Lu, Dan

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Document information

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Document information

Title:

Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method

Additional title:

Journal of Hydrology: Regional Studies

Contributors:

Fan, Ming (author) / Liu, Siyan (author) / Lu, Dan (author)

Published in:

Journal of Hydrology: Regional Studies ; 50

Publication date:

2023-12-01

ISSN:

2214-5818

DOI:

https://doi.org/10.1016/j.ejrh.2023.101584

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Licence:

http://creativecommons.org/licenses/by/4.0/

Ming Fan / Siyan Liu / Dan Lu | DOAJ | 2023

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