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A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data

Research article (Renewable and Sustainable Energy Reviews, 2019) · cited 188× · AI/ML
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Summary

A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data is a scholarly article[1].

Key Facts

  • A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data. Retrieved October 18, 2026, from https://4ort.xyz/entity/a-deep-learning-algorithm-to-estimate-hourly-global-solar-radiation-from-geostationary-satellite-data
MLA “A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/a-deep-learning-algorithm-to-estimate-hourly-global-solar-radiation-from-geostationary-satellite-data.
BibTeX @misc{4ortxyz_a-deep-learning-algorithm-to-estimate-hourly-global-solar-radiation-from-geostationary-satellite-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-algorithm-to-estimate-hourly-global-solar-radiation-from-geostationary-satellite-data}, note = {Accessed: 2026-10-18}}
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