Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Guillermo Terrén-Serrano"'
Autor:
Quentin Paletta, Guillermo Terrén-Serrano, Yuhao Nie, Binghui Li, Jacob Bieker, Wenqi Zhang, Laurent Dubus, Soumyabrata Dev, Cong Feng
Publikováno v:
Advances in Applied Energy, Vol 11, Iss , Pp 100150- (2023)
Renewable energy forecasting is crucial for integrating variable energy sources into the grid. It allows power systems to address the intermittency of the energy supply at different spatiotemporal scales. To anticipate the future impact of cloud disp
Externí odkaz:
https://doaj.org/article/2a0e4232abc1496f94c7c1eae607001b
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 442-450 (2021)
Photovoltaic systems are sensitive to cloud shadow projection, which needs to be forecasted to reduce the noise impacting the intra-hour forecast of global solar irradiance. We present a comparison between different kernel discriminative models for c
Externí odkaz:
https://doaj.org/article/4cd7143a032e4675a62fb9fe311d1f28
Publikováno v:
Data in Brief, Vol 35, Iss , Pp 106914- (2021)
The energy available in a microgrid that is powered by solar energy is tightly related to the weather conditions at the moment of generation. A very short-term forecast of solar irradiance provides the microgrid with the capability of automatically c
Externí odkaz:
https://doaj.org/article/2a2bfa0ee21649cda9cd8e27179cf1a1
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c82c689d734c3b2b885faa9e8c1df501
https://doi.org/10.2139/ssrn.4064631
https://doi.org/10.2139/ssrn.4064631
Autor:
Anthony Menicucci, Guillermo Terrén-Serrano, Manel Martínez-Ramón, Andrea Mammoli, Thomas P. Caudell
Publikováno v:
Solar Energy. 187:254-260
In a system used for short-term forecasting of solar irradiance, multiple longwave infrared sensors are used to acquire an image of a large, continuous section of the sky dome. The field of view of each sensor is directed at a particular, fixed porti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09ae11634fcbf056db7bbc3dad753a10
https://doi.org/10.1016/j.solener.2019.05.052
https://doi.org/10.1016/j.solener.2019.05.052
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 442-450 (2021)
Photovoltaic systems are sensitive to cloud shadow projection, which needs to be forecasted to reduce the noise impacting the intra-hour forecast of global solar irradiance. We present a comparison between different kernel discriminative models for c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df73b5f0cd18bff516dcb68eba570be
http://arxiv.org/abs/2102.06646
http://arxiv.org/abs/2102.06646
The energy available in a solar energy powered grid is uncertain due to the weather conditions at the time of generation. Forecasting global solar irradiance could address this problem by providing the power grid with the capability of scheduling the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::258dafe5901db3b2cba6d59b03af22a8
The increasing penetration of photovoltaic systems in the power grid makes it vulnerable to cloud shadow projection. Real-time cloud segmentation in ground-based infrared images is important to reduce the noise in intra-hour global solar irradiance f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ba402ce9ea62b6e887776f7011f775
Autor:
Sancho Salcedo-Sanz, Manel Martínez-Ramón, M.Á. Hombrados-Herrera, C. Casanova-Mateo, J. Sanz-Justo, Silvia Jiménez-Fernández, Vanessa Gómez-Verdejo, Guillermo Terrén-Serrano, O. Garcia-Hinde
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
The interest in solar radiation prediction has increased greatly in recent times among the scientific community. In this context, Machine Learning techniques have shown their ability to learn accurate prediction models. The aim of this paper is to go
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e3464e5d4fbca5b2155db67a494323f
https://doi.org/10.1016/j.engappai.2017.12.003
https://doi.org/10.1016/j.engappai.2017.12.003
Publikováno v:
Data in Brief
Data in Brief, Vol 35, Iss, Pp 106914-(2021)
Data in Brief, Vol 35, Iss, Pp 106914-(2021)
The energy available in Micro Grid (MG) that is powered by solar energy is tightly related to the weather conditions in the moment of generation. Very short-term forecast of solar irradiance provides the MG with the capability of automatically contro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e41eea7b14b21be5508bf48c4c9adea
https://doi.org/10.1016/j.dib.2021.106914
https://doi.org/10.1016/j.dib.2021.106914