Reference:Reference-032227: Difference between revisions
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|Title=Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods | |Title=Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods | ||
|Year=2021 | |Year=2021 | ||
|Journal= | |Journal= | ||
|Booktitle=Computational Science – ICCS 2021 | |Booktitle=Computational Science – ICCS 2021 | ||
|Volume=12746 | |Volume=12746 | ||
|Pages=309–322 | |Pages=309–322 | ||
|URL=https://link.springer.com/10.1007/978-3-030-77977-1_24 | |URL=https://link.springer.com/10.1007/978-3-030-77977-1_24 | ||
|DOI= | |DOI= | ||
|Note=Auto downloaded ref at: 2024-09-08 | |Note=Auto downloaded ref at: 2024-09-08 | ||
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{{RefsInt3 | {{RefsInt3 | ||
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Latest revision as of 15:21, 12 November 2024
| Author(s) | Paszynski, Maciej; Kranzlmüller, Dieter; Krzhizhanovskaya, Valeria V.; Dongarra, Jack J.; Sloot, Peter M.A.; Knol, Dennis; de Leeuw, Fons; Meirink, Jan Fokke; |
| BibType | bookSection |
| Title | Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods |
| Editors | |
| Year | 2021 |
| Journal | |
| Booktitle | Computational Science – ICCS 2021 |
| Volume | 12746 |
| Pages | 309–322 |
| URL | https://link.springer.com/10.1007/978-3-030-77977-1_24 |
| DOI | |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-08
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | efaec4c2eea709c9d7301be60899a865a91a5eee |
| 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
|
