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Automatic Programming for the Optimal Power Flow in Distribution Networks: An Edge-side Adaptive Computing Approach Based on Large Language Models

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Bibliographic Details
Published in:CSEE Journal of Power and Energy Systems
Format: Online Article RSS Article
Published: 2026
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container_title CSEE Journal of Power and Energy Systems
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:30168
institution FRELIP
journal_source_facet CSEE Journal of Power and Energy Systems
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Automatic Programming for the Optimal Power Flow in Distribution Networks: An Edge-side Adaptive Computing Approach Based on Large Language Models
— — — — — 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 Automatic Programming for the Optimal Power Flow in Distribution Networks: An Edge-side Adaptive Computing Approach Based on Large Language Models
title_auth Automatic Programming for the Optimal Power Flow in Distribution Networks: An Edge-side Adaptive Computing Approach Based on Large Language Models
title_full Automatic Programming for the Optimal Power Flow in Distribution Networks: An Edge-side Adaptive Computing Approach Based on Large Language Models
title_fullStr Automatic Programming for the Optimal Power Flow in Distribution Networks: An Edge-side Adaptive Computing Approach Based on Large Language Models
title_full_unstemmed Automatic Programming for the Optimal Power Flow in Distribution Networks: An Edge-side Adaptive Computing Approach Based on Large Language Models
title_short Automatic Programming for the Optimal Power Flow in Distribution Networks: An Edge-side Adaptive Computing Approach Based on Large Language Models
title_sort automatic programming for the optimal power flow in distribution networks: an edge-side adaptive computing approach based on large language models
topic — — — — — Energy
Environmental Management
Environmental Sciences
url http://ieeexplore.ieee.org/document/11338175