Application of Temporal Fusion Transformers to Run-Of-The-River Hydropower Scheduling

Application of Temporal Fusion Transformers to Run-Of-The-River Hydropower Scheduling

This study explores the application of Temporal Fusion Transformers (TFTs) to improve the predictability of hourly potential hydropower production for a small run–of–the–river hydropower plant in Portugal. Accurate hourly power forecasts are essential for optimizing participation in the spot electri...

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Bibliographic Details
Main Authors: Rafael Francisco, José Pedro Matos, Rui Marinheiro, Nuno Lopes, Maria Manuela Portela, Pedro Barros
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Hydrology
Subjects:
hydropower
deep learning
temporal fusion transformers
probabilistic prediction
probabilistic forecasting
meteorological forecasts
Online Access:https://www.mdpi.com/2306-5338/12/4/81
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