Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Juan José González de la Rosa"'
Autor:
Juan José González de la Rosa, José María Sierra-Fernández, José Carlos Palomares-Salas, Agustín Agüera-Pérez, Álvaro Jiménez Montero
Publikováno v:
Energies, Vol 8, Iss 9, Pp 9777-9793 (2015)
For the development of the future smart grid, the detection of power quality events is a key issue for the power system monitoring. Voltage sags, swells, harmonics (variations) and interruptions, which produce large losses for commercial and industri
Externí odkaz:
https://doaj.org/article/0d6e9a6502c34f4fb924ba79fe80e2e9
Autor:
Antonio Moreno-Muñoz, Juan José González de la Rosa, José María Sierra-Fernández, José Carlos Palomares-Salas, Agustín Agüera-Pérez
Publikováno v:
Energies, Vol 6, Iss 11, Pp 5807-5825 (2013)
This research presents a comparative analysis of wind speed forecasting methods applied to perform 1 h-ahead forecasting. The main significant development has been the introduction of low-quality measurements as exogenous information to improve these
Externí odkaz:
https://doaj.org/article/86507e6d1ce74cbeb01d13553fe1bf48
Autor:
Manuel Jesús Espinosa-Gavira, Agustín Agüera-Pérez, Juan José González de la Rosa, José Carlos Palomares-Salas, José María Sierra-Fernández
Publikováno v:
Sensors, Vol 18, Iss 10, p 3405 (2018)
Very short-term solar forecasts are gaining interest for their application on real-time control of photovoltaic systems. These forecasts are intimately related to the cloud motion that produce variations of the irradiance field on scales of seconds a
Externí odkaz:
https://doaj.org/article/6c5f03a8230a438c99c27cca11669c1c
Autor:
Jesús Álvarez-Higueruela, Francisco-José Gutiérrez-Villalba, José-María Sierra-Fernández, Juan-José González-de-la-Rosa, Olivia Florencias-Oliveros, José-Carlos Palomares-Salas, Agustín Agüera-Pérez, Manuel-Jesús Espinosa-Gavira
Publikováno v:
Energies, Vol 16, Iss 9, p 3832 (2023)
One of the challenges posed by renewable energies is the stabilization of parameters related to the quality of electrical energy. This study demonstrates the existence of a relationship between input blocks of hydropower and the variation of the fund
Externí odkaz:
https://doaj.org/article/75adceffa37a468db9defc1509995f1a
Autor:
Javier Fernández-Morales, Juan-José González-de-la-Rosa, José-María Sierra-Fernández, Olivia Florencias-Oliveros, Paula Remigio-Carmona, Manuel-Jesús Espinosa-Gavira, Agustín Agüera-Pérez, José-Carlos Palomares-Salas
Publikováno v:
Data, Vol 7, Iss 11, p 162 (2022)
This paper proposes an easy-to-implement method for detecting and assessing two of the most frequent PQ (Power Quality) problems: voltage sags and swells. These can affect sensitive equipment such as computers, programmable logic controllers, contact
Externí odkaz:
https://doaj.org/article/2a00226989d0467aab4fd8f2589fadf9
Autor:
Jesús Álvarez-Higueruela, Francisco-José Gutiérrez-Villalba, José-María Sierra-Fernández, Juan-José González-de-la-Rosa, Olivia Florencias-Oliveros
One of the challenges posed by renewable energies is the stabilization of parameters related to the quality of electrical energy. This study demonstrates the existence of a relationship between input blocks of hydropower and the variation of the fund
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3efc1bfa4c917493b14c1ace8bf5cb5c
https://doi.org/10.20944/preprints202303.0380.v1
https://doi.org/10.20944/preprints202303.0380.v1
Autor:
Olivia Florencias‐Oliveros, Juan‐José González‐de‐la‐Rosa, José‐María Sierra‐Fernández, Manuel‐Jesús Espinosa‐Gavira, Agustín Agüera‐Pérez, José‐Carlos Palomares‐Salas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fd5127fd1d0003e532bb64f2aefc3cd
https://doi.org/10.1002/9781119747796
https://doi.org/10.1002/9781119747796
Autor:
Agustín Agüera-Pérez, Manuel Jesús Espinosa-Gavira, José María Sierra-Fernández, Juan José González de la Rosa, Olivia Florancias-Oliveros, José Carlos Palomares-Salas
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 6:100-109
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8df9e1e2edfa5b51efa7f89320cfbefb
https://doi.org/10.25046/aj060412
https://doi.org/10.25046/aj060412
Publikováno v:
Soft Computing. 25:7769-7784
Time series forecasting of disaggregated freight flow is a key issue in decision-making by port authorities. For this purpose and to test new deep learning techniques we have selected seven time series of imported goods from Morocco to Spain through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac6c2aaf8e99448468b8a43517bc0c85
https://doi.org/10.1007/s00500-021-05678-5
https://doi.org/10.1007/s00500-021-05678-5
Autor:
Agustín Agüera-Pérez, Manuel Jesús Espinosa-Gavira, José Carlos Palomares-Salas, J.-M. Sierra-Fernández, Olivia Florencias-Oliveros, Juan José González-de-la-Rosa
Publikováno v:
Renewable Energy and Power Quality Journal. 18:255-260
The current high penetration rate of distributed energy resources in the smart grid has set up a challenge for energy management and consequently for the supply monitoring and assessment of power quality. Currently, new types of electrical disturbanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2441940a55829c99e41622cc8bcd1c34
https://doi.org/10.24084/repqj18.288
https://doi.org/10.24084/repqj18.288