Intrahour Direct Normal Irradiance Forecasting Based on Sky Image Processing and Time-Series Analysis
Abstract: The present paper exhibits a hybrid model for intrahour forecasting of direct normal irradiance (DNI). It combines a knowledge-based model, which is used for clear-sky DNI forecasting from DNI measurements, with a machine-learning-based model, that evaluates the impact of atmospheric disturbances on the solar resource, through the processing of high dynamic range sky images provided by a ground-based camera. The performance of the hybrid model is compared with that of two machine learning models based on past DNI observations only. The results highlight the pertinence of combining knowledge-based models with data-driven models, and of integrating sky-imaging data in the DNI forecasting process. Parts of this paper were published as journal article Karout, Y.; Thil, S.; Eynard, J.; Guillot, E.; Grieu, S. Hybrid intrahour DNI forecast model based on DNI measurements and sky-imaging data. Solar Energy. 2023, 249, 541-558. https://doi.org/10.1016/j.solener.2022.11.032. https://www.tib-op.org/ojs/index.php/solarpaces/article/view/648
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Intrahour Direct Normal Irradiance Forecasting Based on Sky Image Processing and Time-Series Analysis ; volume:1 ; year:2022
SolarPACES conference proceedings ; 1 (2022)
- Creator
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Karout, Youssef
Thil, Stéphane
Eynard, Julien
Guillot, Emmanuel
Grieu, Stéphane
- DOI
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10.52825/solarpaces.v1i.648
- URN
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urn:nbn:de:101:1-2024041514000641017325
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:01 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Karout, Youssef
- Thil, Stéphane
- Eynard, Julien
- Guillot, Emmanuel
- Grieu, Stéphane
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