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Francisco J. Rodríguez-Benítez

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2020 – today

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2023
[j3]
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  - journals/remotesensing/LopezCuestaAGRP23
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  - https://dblp.org/rec/journals/remotesensing/LopezCuestaAGRP23
Miguel López-Cuesta, Ricardo Aler, Inés María Galván, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez:
Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques. Remote. Sens. 15(9): 2328 (2023)
2022
[j2]
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  - journals/nca/Huertas-TatoGAR22
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Javier Huertas-Tato, Inés María Galván, Ricardo Aler, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez:
Using a Multi-view Convolutional Neural Network to monitor solar irradiance. Neural Comput. Appl. 34(13): 10295-10307 (2022)
2021
[j1]
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  - journals/asc/GalvanHRAPA21
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Inés María Galván, Javier Huertas-Tato, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Ricardo Aler:
Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types. Appl. Soft Comput. 109: 107531 (2021)

2010 – 2019

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2018
[c1]
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  - conf/hais/Huertas-TatoARA18
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Javier Huertas-Tato, Ricardo Aler, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Inés María Galván:
Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. HAIS 2018: 622-633

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