Výsledky vyhledávání - "2509.19 Análisis del tiempo meteorológico"

Photovoltaic power prediction using artificial neural networks and numerical weather data

Autor: Lara Febrero Garrido, José García, Ana Ogando Martínez, Francisco Manuel Troncoso Pastoriza, Javier López Gómez, Enrique Granada Álvarez

Publikováno v: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Sustainability, Vol 12, Iss 10295, p 10295 (2020)
Sustainability
Volume 12
Issue 24
RUC. Repositorio da Universidade da Coruña
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)

[Abstract] The monitoring of power generation installations is key for modelling and predicting their future behaviour. Many renewable energy generation systems, such as photovoltaic panels and wind turbines, strongly depend on weather conditions. Ho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db0fe9cb42b26ca8477d48f29a412083
http://hdl.handle.net/11093/1765

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Comparison between geostatistical interpolation and numerical weather model predictions for meteorological conditions mapping

Autor: Francisco Manuel Troncoso Pastoriza, Enrique Granada Álvarez, Pablo Eguía Oller, Javier López Gómez

Publikováno v: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Infrastructures
Volume 5
Issue 2
Infrastructures, Vol 5, Iss 2, p 15 (2020)

Mapping of meteorological conditions surrounding road infrastructures is a critical tool to identify high-risk spots related to harsh weather. However, local or regional data are not always available, and researchers and authorities must rely on coar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd8dd79bb2cf5222e4d66b184765f8a6
https://www.mdpi.com/2412-3811/5/2/15

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