Enhancing streamflow forecasting for the Brazilian electricity sector: a strategy based on a hyper-multimodel

ABSTRACT Streamflow forecasting plays an important role in ensuring the reliable supply of electricity in countries heavily reliant on hydropower. This paper proposes a novel framework that integrates various hydrological models, climate models, and observational data to develop a comprehensive fore...

Descripció completa

Dades bibliogràfiques

Autors principals:	Francisco de Assis de Souza Filho, Renan Vieira Rocha, Ályson Brayner Estácio, Larissa Zaira Rafael Rolim, João Dehon de Araújo Pontes Filho, Victor Costa Porto, Sullyandro Oliveira Guimarães
Format:	Artigo
Idioma:	Inglês
Publicat:	Associação Brasileira de Recursos Hídricos 2023-12-01
Col·lecció:	RBRH
Matèries:	Hydrological modeling Machine learning Periodic autoregressive models Flow scenario generation
Accés en línia:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312023000100604&tlng=en
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!