Zobrazeno 1 - 10
of 27
pro vyhledávání: '"irradiance nowcasting"'
Publikováno v:
Forecasting, Vol 4, Iss 1, Pp 338-348 (2022)
This work proposes and evaluates a method for the nowcasting of solar irradiance variability in multiple time horizons, namely 5, 10, and 15 min ahead. The method is based on a Convolutional Neural Network structure that exploits infrared sky images
Externí odkaz:
https://doaj.org/article/cf09653da694495d946143abdfb22b74
Autor:
Miguel López-Cuesta, Ricardo Aler-Mur, Inés María Galván-León, Francisco Javier Rodríguez-Benítez, Antonio David Pozo-Vázquez
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2328 (2023)
Accurate solar radiation nowcasting models are critical for the integration of the increasing solar energy in power systems. This work explored the benefits obtained by the blending of four all-sky-imagers (ASI)-based models, two satellite-images-bas
Externí odkaz:
https://doaj.org/article/2b35a78e5a05408c9f945fe4194fd8c7
Autor:
Dilantha Haputhanthri, Daswin De Silva, Seppo Sierla, Damminda Alahakoon, Rashmika Nawaratne, Andrew Jennings, Valeriy Vyatkin
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
The rapid penetration of photovoltaic generation reduces power grid inertia and increases the need for intelligent energy resources that can cope in real time with the imbalance between power generation and consumption. Virtual power plants are a tec
Externí odkaz:
https://doaj.org/article/852a3c1f43f54bcea271e247a821797c
Akademický článek
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Akademický článek
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Autor:
Logothetis, Stavros Andreas, Salamalikis, Vasileios, Wilbert, Stefan, Remund, Jan, Zarzalejo, Luis F., Xie, Yu, Nouri, Bijan, Ntavelis, Evangelos, Nou, Julien, Hendrikx, Niels, Visser, Lennard, Sengupta, Manajit, Pó, Mário, Chauvin, Remi, Grieu, Stephane, Blum, Niklas, van Sark, Wilfried, Kazantzidis, Andreas, Integration of Photovoltaic Solar Energy, Energy and Resources
Publikováno v:
Renewable Energy, 199, 246. Elsevier BV
Fluctuations of the incoming solar irradiance impact the power generation from photovoltaic and concentrating solar thermal power plants. Accurate solar nowcasting becomes necessary to detect these sudden changes of generated power and to provide the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f34f2ec6f5e91f6d36d3df20c0db52c8
https://doi.org/10.1016/j.renene.2022.08.127
https://doi.org/10.1016/j.renene.2022.08.127
Publikováno v:
Forecasting; Volume 4; Issue 1; Pages: 338-348
This work proposes and evaluates a method for the nowcasting of solar irradiance variability in multiple time horizons, namely 5, 10, and 15 min ahead. The method is based on a Convolutional Neural Network structure that exploits infrared sky images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9319120f543a1535cbcb19ef7f78ccc8
https://doi.org/10.3390/forecast4010019
https://doi.org/10.3390/forecast4010019
Akademický článek
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Autor:
Luis Valentín, Manuel I. Peña-Cruz, Daniela Moctezuma, Cesar M. Peña-Martínez, Carlos A. Pineda-Arellano, Arturo Díaz-Ponce
Publikováno v:
Applied Sciences, Vol 9, Iss 6, p 1131 (2019)
Solar resource assessment is fundamental to reduce the risk in selecting the solar power-plants’ location; also for designing the appropriate solar-energy conversion technology and operating new sources of solar-power generation. Having a reliable
Externí odkaz:
https://doaj.org/article/1a81dda4cb944e4488e967537a19e0f6
Autor:
Haputhanthri, Dilantha, De Silva, Daswin, Sierla, Seppo, Alahakoon, Lakpriya, Nawaratne, Balasuriya Kankanamalage, Jennings, Andrew, Vyatkin, Valeriy
Publisher Copyright: © Copyright © 2021 Haputhanthri, De Silva, Sierla, Alahakoon, Nawaratne, Jennings and Vyatkin. The rapid penetration of photovoltaic generation reduces power grid inertia and increases the need for intelligent energy resources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aafe530f670321d4e894839d81eb60b0
https://aaltodoc.aalto.fi/handle/123456789/109927
https://aaltodoc.aalto.fi/handle/123456789/109927