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
|Year=2021
|Journal=None
|Booktitle=Computational Science – ICCS 2021
|Volume=12746
|Pages=309–322
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|DOI=None
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Revision as of 11:46, 9 September 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 None
Booktitle Computational Science – ICCS 2021
Volume 12746
Pages 309–322
URL https://link.springer.com/10.1007/978-3-030-77977-1_24
DOI None
ISBN
Note Auto downloaded ref at: 2024-09-08


 
Feature reference No
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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:


Model(s) discussed: WRF