Reference:Reference-023160
From CSDMS
| Author(s) | Christoforou, E.; Emiris, I. Z.; Florakis, A.; Rizou, D.; Zaharia, S.; | |
| BibType | journalArticle | |
| Title | Spatio-temporal deep learning for day-ahead wind speed forecasting relying on WRF predictions | |
| Editors | ||
| Year | 2023-05 | |
| Journal | Energy Systems | |
| Booktitle | ||
| Volume | 14 | |
| Pages | 473–493 | |
| URL | https://link.springer.com/10.1007/s12667-021-00480-6 | |
| DOI | 10.1007/s12667-021-00480-6 | |
| ISBN | ||
| Note | Auto downloaded ref at: 2024-08-30
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| Highlighted paper on group site | ||
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| Which groups | ||
| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 0 | |
| Semantic_ID | 0d82a6e2ee4d52ad5d240a8259fa51f1fbfefe3c | |
| Nr of citations | 5 | |
| Sort of publication | a module application description | |
| Sort of model publication | a single module | |
| Is the CSDMS HPC used | No | |
| If HPC is used, for what project was it?: | ||
| Associated simulation movie if any: |
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| Model(s) discussed: | WRF
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