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Uncertainty‐Quantified Probabilistic Forecasting and Reinforcement Learning for Short‐Term Hydropower Scheduling

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Published in:IET Cyber-Physical Systems : Theory & Applications
Format: Online Article RSS Article
Published: 2026
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container_title IET Cyber-Physical Systems : Theory & Applications
description
discipline_display Electronics
discipline_facet Electronics
format Online Article
RSS Article
genre Journal Article
id rss_article:74217
institution FRELIP
journal_source_facet IET Cyber-Physical Systems : Theory & Applications
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Uncertainty‐Quantified Probabilistic Forecasting and Reinforcement Learning for Short‐Term Hydropower Scheduling
Electronics
General
Electronics
sub_discipline_display General
sub_discipline_facet General
subject_display Electronics
General
Electronics
Electronics
General
Electronics
subject_facet Electronics
General
Electronics
title Uncertainty‐Quantified Probabilistic Forecasting and Reinforcement Learning for Short‐Term Hydropower Scheduling
title_auth Uncertainty‐Quantified Probabilistic Forecasting and Reinforcement Learning for Short‐Term Hydropower Scheduling
title_full Uncertainty‐Quantified Probabilistic Forecasting and Reinforcement Learning for Short‐Term Hydropower Scheduling
title_fullStr Uncertainty‐Quantified Probabilistic Forecasting and Reinforcement Learning for Short‐Term Hydropower Scheduling
title_full_unstemmed Uncertainty‐Quantified Probabilistic Forecasting and Reinforcement Learning for Short‐Term Hydropower Scheduling
title_short Uncertainty‐Quantified Probabilistic Forecasting and Reinforcement Learning for Short‐Term Hydropower Scheduling
title_sort uncertainty‐quantified probabilistic forecasting and reinforcement learning for short‐term hydropower scheduling
topic Electronics
General
Electronics
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cps2.70042?af=R