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A Multi-Cluster Mean-Field Game-Based Demand Response Management for Large-Scale Residential Customers With Heterogeneous Flexibility

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Bibliographic Details
Published in:IEEE Open Access Journal of Power and Energy
Format: Online Article RSS Article
Published: 2025
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container_title IEEE Open Access Journal of Power and Energy
description
discipline_display Energy
discipline_facet Energy
format Online Article
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genre Journal Article
id rss_article:73449
institution FRELIP
journal_source_facet IEEE Open Access Journal of Power and Energy
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle A Multi-Cluster Mean-Field Game-Based Demand Response Management for Large-Scale Residential Customers With Heterogeneous Flexibility
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 A Multi-Cluster Mean-Field Game-Based Demand Response Management for Large-Scale Residential Customers With Heterogeneous Flexibility
title_auth A Multi-Cluster Mean-Field Game-Based Demand Response Management for Large-Scale Residential Customers With Heterogeneous Flexibility
title_full A Multi-Cluster Mean-Field Game-Based Demand Response Management for Large-Scale Residential Customers With Heterogeneous Flexibility
title_fullStr A Multi-Cluster Mean-Field Game-Based Demand Response Management for Large-Scale Residential Customers With Heterogeneous Flexibility
title_full_unstemmed A Multi-Cluster Mean-Field Game-Based Demand Response Management for Large-Scale Residential Customers With Heterogeneous Flexibility
title_short A Multi-Cluster Mean-Field Game-Based Demand Response Management for Large-Scale Residential Customers With Heterogeneous Flexibility
title_sort a multi-cluster mean-field game-based demand response management for large-scale residential customers with heterogeneous flexibility
topic Energy
General
Energy
url http://ieeexplore.ieee.org/document/11296832