Convolutional Neural Network for High-Resolution Cloud Motion Prediction from Hemispheric Sky Images
A novel high-resolution method for forecasting cloud motion from all-sky images using deep learning is presented. A convolutional neural network (CNN) was created and trained with more than two years of all-sky images, recorded by a hemispheric sky imager (HSI) at the Institute of Meteorology and Cl...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2021-02-01
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| シリーズ: | Energies |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/1996-1073/14/3/753 |
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