Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Clara Arbizu-Barrena"'
Autor:
David Pozo-Vázquez, Inés Galván-León, Ricardo Aler-Mur, Javier Huertas-Tato, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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The ability of four models to provide short-term (up to 6 h ahead) GHI and DNI forecasts in the Iberian Peninsula is assessed based on two years of data collected at four stations. The models follow (mostly) independent approaches: one pure statistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08e01fc99439a1827be753c5cecf9d95
https://doi.org/10.1016/j.solener.2019.11.028
https://doi.org/10.1016/j.solener.2019.11.028
Autor:
Francisco J. Rodríguez-Benítez, Inés M. Galván, Javier Huertas-Tato, David Pozo-Vázquez, Clara Arbizu-Barrena, Ricardo Aler
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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In this article we explore the blending of the four models (Satellite, WRF-Solar, Smart Persistence and CIADCast) studied in Part 1 by means of Support Vector Machines with the aim of improving GHI and DNI forecasts. Two blending approaches that use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::841aa848a8ee45b22dd8591593736fa7
https://doi.org/10.1016/j.solener.2019.11.091
https://doi.org/10.1016/j.solener.2019.11.091
Autor:
Clara Arbizu-Barrena, J. Tovar-Pescador, David Pozo-Vázquez, Francisco J. Rodríguez-Benítez, F. J. Santos-Alamillos
Publikováno v:
Solar Energy. 171:374-387
The intra-day modes of variability of the solar resources in the Iberian Peninsula, their associated weather patterns and their impact on the solar power output are assessed in this work. The analysis is performed for yearly and seasonal variability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::906be418068a453a0191b0dc7339545b
https://doi.org/10.1016/j.solener.2018.06.060
https://doi.org/10.1016/j.solener.2018.06.060
Autor:
Ricardo Aler, Inés M. Galván, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez, Clara Arbizu-Barrena, Javier Huertas-Tato
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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Recent research has shown that the integration or blending of different forecasting models is able to improve the predictions of solar radiation. However, most works perform model blending to improve point forecasts, but the integration of forecastin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9c70eb84d6f726437f0e7e00ecfce68
https://doi.org/10.1016/j.asoc.2021.107531
https://doi.org/10.1016/j.asoc.2021.107531
Autor:
María M. Fernández-León, Francisco J. Rodríguez-Benítez, Miguel López-Cuesta, David Pozo-Vázquez, Francisco J. Santos-Alamillos, Clara Arbizu-Barrena, J. Tovar-Pescador, Miguel Á. Pamos-Ureña
Publikováno v:
Applied Energy. 292:116838
This work proposes and evaluates methods for extending the forecasting horizon of all-sky imager (ASI)-based solar radiation nowcasts and estimating the uncertainty of these predictions. In addition, we evaluated procedures for improving the temporal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c7b20d8a64584bc7edfba2fe1f0a5ab
https://doi.org/10.1016/j.apenergy.2021.116838
https://doi.org/10.1016/j.apenergy.2021.116838
Autor:
David Pozo-Vázquez, Clara Arbizu-Barrena, J. Tovar-Pescador, José A. Ruiz-Arias, Francisco J. Rodríguez-Benítez
Publikováno v:
Solar Energy. 155:1092-1103
A new method for short-term solar radiation forecasting (referred to as Cloud Index Advection and Diffusion, CIADCast) is proposed and validated. The method is based on the advection and diffusion of Meteosat Second Generation (MSG) cloud index estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c463a2f73338eac0a92e23840c76ee54
https://doi.org/10.1016/j.solener.2017.07.045
https://doi.org/10.1016/j.solener.2017.07.045
Autor:
J. Tovar-Pescador, David Pozo-Vázquez, José A. Ruiz-Arias, Clara Arbizu-Barrena, F. J. Santos-Alamillos
Publikováno v:
Monthly Weather Review. 144:703-711
Solar radiation plays a key role in the atmospheric system but its distribution throughout the atmosphere and at the surface is still very uncertain in atmospheric models, and further assessment is required. In this study, the shortwave downward tota
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd0d37c561c1c897b45ed978a9530e08
https://doi.org/10.1175/mwr-d-15-0262.1
https://doi.org/10.1175/mwr-d-15-0262.1
Autor:
Juan Luis Guerrero-Rascado, Juan Antonio Bravo-Aranda, Lucas Alados-Arboledas, Francisco Olmo, Marc Mallet, Francisco Navas-Guzmán, María José Granados-Muñoz, Gregori de-Arruda-Moreira, David Pozo-Vázquez, Clara Arbizu-Barrena
20 The automatic and non-supervised detection of the planetary boundary layer height (zPBL) by means of lidar measurements was widely investigated during the last years. Despite the considerable advances achieved the experimental detection still pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9429a3fbe4a9590a72ad9e58e9f648e2
https://doi.org/10.5194/acp-2016-718
https://doi.org/10.5194/acp-2016-718
Autor:
David Pozo-Vázquez, Clara Arbizu-Barrena, Francisco J. Rodríguez-Benítez, I. Galvan-Leon, R. Aler-Mur, Javier Huertas-Tato
Publikováno v:
Journal of Geophysical Research: Atmospheres. 122:11-11,061
A methodology, aimed to be fully operational, for automatic cloud classification based on the synergetic use of a sky camera and a ceilometer is presented. The Random Forest Machine Learning algorithm was used to train the classifier with 19 input fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63bb10fc3ccb1e6529216242cf1662db
https://doi.org/10.1002/2017jd027131
https://doi.org/10.1002/2017jd027131
Publikováno v:
Journal of Geophysical Research: Atmospheres. 120
The ability of six microphysical parameterizations included in the Weather Research and Forecasting (WRF) numerical weather prediction (NWP) model to represent various macroscopic cloud characteristics at multiple spatial and temporal resolutions is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81aa92ecb499b4bcda7bb67bb883f0e0
https://doi.org/10.1002/2015jd023502
https://doi.org/10.1002/2015jd023502