An extreme forecast index-driven runoff prediction approach using stacking ensemble learning

Runoff prediction plays a crucial role in hydropower generation and flood prevention, enhancing prediction accuracy in hydrology. This study proposes an extreme forecast index (EFI)-driven runoff prediction approach using stacking ensemble learning to improve prediction performance. EFI is introduce...

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Библиографические подробности

Главные авторы:	Zhiyuan Leng, Lu Chen, Binlin Yang, Siming Li, Bin Yi
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Taylor & Francis Group 2024-12-01
Серии:	Geomatics, Natural Hazards & Risk
Предметы:	Runoff prediction extreme forecast index machine learning stacking ensemble learning particle swarm optimization
Online-ссылка:	https://www.tandfonline.com/doi/10.1080/19475705.2024.2353144
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