Výsledky vyhledávání - "Rodríguez, F. (Fermín)"

Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control

Autor: Rodríguez, F. (Fermín), Galarza-Rodríguez, A. (Ainhoa), Vasquez, J.C. (Juan C), Guerrero, J.M. (Josep M.)

Publikováno v: Dadun. Depósito Académico Digital de la Universidad de Navarra
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In recent years, the photovoltaic generation installed capacity has been steadily growing thanks to its inexhaustible and non-polluting characteristics. However, solar generators are strongly dependent on intermittent weather parameters, increasing p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4b2675993a35b185cf325d0a3afbb837
https://hdl.handle.net/10171/63387

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Very short-term temperature forecaster using MLP and N-nearest stations for calculating key control parameters in solar photovoltaic generation

Autor: Rodríguez, F. (Fermín), Genn, M. (Michael), Fontán, L. (Luis), Galarza-Rodríguez, A. (Ainhoa)

Publikováno v: Dadun. Depósito Académico Digital de la Universidad de Navarra
Consejo Superior de Investigaciones Científicas (CSIC)

Although photovoltaic generation has been proposed as a solution for the world’s energy challenges, it depends to a large extent on solar irradiation and air temperature. Therefore, small variations in these meteorological parameters produce sudden

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::632c9bf5297b1643df129702d75d3ad8
https://hdl.handle.net/10171/63849

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Ensemble of machine learning and spatiotemporal parameters to forecast very short-term solar irradiation to compute photovoltaic generators’ output power

Autor: Rodríguez, F. (Fermín), Martín, F. (Fernando), Fontán, L. (Luis), Galarza-Rodríguez, A. (Ainhoa)

Publikováno v: Dadun. Depósito Académico Digital de la Universidad de Navarra
Consejo Superior de Investigaciones Científicas (CSIC)

Photovoltaic generation has arisen as a solution for the present energy challenge. However, power obtained through solar technologies has a strong correlation with certain meteorological variables such as solar irradiation, wind speed or ambient temp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e48ef4f0b3deec591deb531f7177b743
https://hdl.handle.net/10171/63762

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