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Ricardo Aler

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with David Pozo-Vázquez

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Publications

2023
[j39]
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  dblp key:
  - journals/apin/GarciaCuestaAPG23
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  persistent URL:
  - https://dblp.org/rec/journals/apin/GarciaCuestaAPG23
Esteban García-Cuesta, Ricardo Aler, David Pozo-Vázquez, Inés María Galván:
A combination of supervised dimensionality reduction and learning methods to forecast solar radiation. Appl. Intell. 53(11): 13053-13066 (2023)
[j37]
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  dblp key:
  - 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
[j35]
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  - journals/nca/Huertas-TatoGAR22
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  - https://dblp.org/rec/journals/nca/Huertas-TatoGAR22
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
[j34]
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  dblp key:
  - journals/asc/GalvanHRAPA21
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  - https://dblp.org/rec/journals/asc/GalvanHRAPA21
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)
2018
[c43]
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  dblp key:
  - conf/hais/Huertas-TatoARA18
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  - https://dblp.org/rec/conf/hais/Huertas-TatoARA18
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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