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 | None |
| 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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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 0d82a6e2ee4d52ad5d240a8259fa51f1fbfefe3c |
| CorpusID | 240506884 |
| 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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