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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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| Subjects: | |
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| _version_ | 1872018578129027072 |
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| collection | WordPress RSS FRELIP Feed Integration |
| 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 |