Articles | Volume 16, issue 12
https://doi.org/10.5194/amt-16-3257-2023
https://doi.org/10.5194/amt-16-3257-2023
Research article
 | 
29 Jun 2023
Research article |  | 29 Jun 2023

Validation of a camera-based intra-hour irradiance nowcasting model using synthetic cloud data

Philipp Gregor, Tobias Zinner, Fabian Jakub, and Bernhard Mayer

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Cited articles

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Blum, N. B., Wilbert, S., Nouri, B., Stührenberg, J., Lezaca Galeano, J. E., Schmidt, T., Heinemann, D., Vogt, T., Kazantzidis, A., and Pitz-Paal, R.: Analyzing Spatial Variations of Cloud Attenuation by a Network of All-Sky Imagers, Remote Sens., 14, 5685, https://doi.org/10.3390/rs14225685, 2022. a, b
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This work introduces MACIN, a model for short-term forecasting of direct irradiance for solar energy applications. MACIN exploits cloud images of multiple cameras to predict irradiance. The model is applied to artificial images of clouds from a weather model. The artificial cloud data allow for a more in-depth evaluation and attribution of errors compared with real data. Good performance of derived cloud information and significant forecast improvements over a baseline forecast were found.