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Q‐Learning‐Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE

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Published in:IET Smart Grid
Format: Online Article RSS Article
Published: 2026
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discipline_display Energy
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institution FRELIP
journal_source_facet IET Smart Grid
publishDate 2026
publishDateSort 2026
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spellingShingle Q‐Learning‐Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE
Energy
General
Energy
sub_discipline_display General
sub_discipline_facet General
subject_display Energy
General
Energy
Energy
General
Energy
subject_facet Energy
General
Energy
title Q‐Learning‐Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE
title_auth Q‐Learning‐Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE
title_full Q‐Learning‐Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE
title_fullStr Q‐Learning‐Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE
title_full_unstemmed Q‐Learning‐Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE
title_short Q‐Learning‐Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE
title_sort q‐learning‐based analysis of auction mechanisms for balancing power market in a power system with high integration of vre
topic Energy
General
Energy
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/stg2.70073?af=R