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Quantum-inspired multi-agent reinforcement learning and evolutionary optimization for stochastic wind farm control

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Published in:Discover Energy
Format: Online Article RSS Article
Published: 2026
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container_title Discover Energy
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:30186
institution FRELIP
journal_source_facet Discover Energy
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Quantum-inspired multi-agent reinforcement learning and evolutionary optimization for stochastic wind farm control
— — — — — Energy
Environmental Management
Environmental Sciences
sub_discipline_display Environmental Management
sub_discipline_facet Environmental Management
subject_display — — — — — Energy
Environmental Management
Environmental Sciences
— — — — — Energy
Environmental Management
Environmental Sciences
subject_facet — — — — — Energy
Environmental Management
Environmental Sciences
title Quantum-inspired multi-agent reinforcement learning and evolutionary optimization for stochastic wind farm control
title_auth Quantum-inspired multi-agent reinforcement learning and evolutionary optimization for stochastic wind farm control
title_full Quantum-inspired multi-agent reinforcement learning and evolutionary optimization for stochastic wind farm control
title_fullStr Quantum-inspired multi-agent reinforcement learning and evolutionary optimization for stochastic wind farm control
title_full_unstemmed Quantum-inspired multi-agent reinforcement learning and evolutionary optimization for stochastic wind farm control
title_short Quantum-inspired multi-agent reinforcement learning and evolutionary optimization for stochastic wind farm control
title_sort quantum-inspired multi-agent reinforcement learning and evolutionary optimization for stochastic wind farm control
topic — — — — — Energy
Environmental Management
Environmental Sciences
url https://link.springer.com/article/10.1007/s43937-026-00133-8