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Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM

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Published in:Journal of Cloud Computing : Advances, Systems and Applications
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Cloud Computing : Advances, Systems and Applications
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:107815
institution FRELIP
journal_source_facet Journal of Cloud Computing : Advances, Systems and Applications
last_indexed 2026-07-29T03:33:57.714Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM
title_alt Inteligencia colaborativa nube-borde para la predicción de energía eólica: sinergia de modelos grandes y pequeños con LightGBM y CNN-BiLSTM
Intelligence collaborative cloud–edge pour la prévision de l'énergie éolienne : Synergie de modèles grands–petits avec LightGBM et CNN–BiLSTM
Inteligência colaborativa nuvem-borda para previsão de energia eólica: sinergia de modelos grande-pequeno com LightGBM e CNN-BiLSTM
title_auth Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM
title_es_txt Inteligencia colaborativa nube-borde para la predicción de energía eólica: sinergia de modelos grandes y pequeños con LightGBM y CNN-BiLSTM
title_fr_txt Intelligence collaborative cloud–edge pour la prévision de l'énergie éolienne : Synergie de modèles grands–petits avec LightGBM et CNN–BiLSTM
title_full Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM
title_fullStr Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM
title_full_unstemmed Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM
title_pt_txt Inteligência colaborativa nuvem-borda para previsão de energia eólica: sinergia de modelos grande-pequeno com LightGBM e CNN-BiLSTM
title_short Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM
title_sort cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with lightgbm and cnn–bilstm
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1186/s13677-026-00868-8