A stacked machine learning model for multi-step ahead prediction of lake surface water temperature.

Di Nunno, Fabio; Zhu, Senlin; Ptak, Mariusz; Sojka, Mariusz; Granata, Francesco

Di Nunno, Fabio; Zhu, Senlin; Ptak, Mariusz; Sojka, Mariusz; Granata, Francesco.

Afiliación

Di Nunno F; Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043 Cassino, Frosinone, Italy. Electronic address: fabio.dinunno@unicas.it.
Zhu S; College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou, China. Electronic address: slzhu@yzu.edu.cn.
Ptak M; Department of Hydrology and Water Management, Adam Mickiewicz University, B. Krygowskiego 10, 61-680 Poznan, Poland.
Sojka M; Department of Land Improvement, Environmental Development and Spatial Management, Poznan University of Life Sciences, Piatkowska 94E, 60-649 Poznan, Poland. Electronic address: mariusz.sojka@up.poznan.pl.
Granata F; Department of Civil and Mechanical Engineering (DICEM), University of Cassino and Southern Lazio, Via Di Biasio, 43, 03043 Cassino, Frosinone, Italy. Electronic address: f.granata@unicas.it.

Sci Total Environ ; 890: 164323, 2023 Sep 10.

Article en En | MEDLINE | ID: mdl-37216992

Asunto(s)

Ecosistema; Lagos; Temperatura; Teorema de Bayes; Aprendizaje Automático; Agua

Palabras clave

Air temperature; Ensemble models; Lakes; Machine learning; Surface water temperature

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lagos / Ecosistema Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos

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