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

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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Bibliographic Details
Main Authors: Zhiyuan Leng, Lu Chen, Binlin Yang, Siming Li, Bin Yi
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Runoff prediction
extreme forecast index
machine learning
stacking ensemble learning
particle swarm optimization
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2024.2353144
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https://www.tandfonline.com/doi/10.1080/19475705.2024.2353144

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