Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks through the Virtual Weather Station Concept in Castilla and León, Spain.

Diez, Francisco J; Boukharta, Ouiam F; Navas-Gracia, Luis M; Chico-Santamarta, Leticia; Martínez-Rodríguez, Andrés; Correa-Guimaraes, Adriana

Diez, Francisco J; Boukharta, Ouiam F; Navas-Gracia, Luis M; Chico-Santamarta, Leticia; Martínez-Rodríguez, Andrés; Correa-Guimaraes, Adriana.

Afiliação

Diez FJ; Department of Agricultural and Forestry Engineering, University of Valladolid, Campus La Yutera, 34004 Palencia, Spain.
Boukharta OF; Department of Agricultural and Forestry Engineering, University of Valladolid, Campus La Yutera, 34004 Palencia, Spain.
Navas-Gracia LM; Department of Agricultural and Forestry Engineering, University of Valladolid, Campus La Yutera, 34004 Palencia, Spain.
Chico-Santamarta L; International Department, Harper Adams University, Newport TF10 8NB, UK.
Martínez-Rodríguez A; Department of Agricultural and Forestry Engineering, University of Valladolid, Campus La Yutera, 34004 Palencia, Spain.
Correa-Guimaraes A; Department of Agricultural and Forestry Engineering, University of Valladolid, Campus La Yutera, 34004 Palencia, Spain.

Sensors (Basel) ; 22(20)2022 Oct 13.

Article em En | MEDLINE | ID: mdl-36298122

Assuntos

Redes Neurais de Computação; Tempo (Meteorologia); Temperatura; Espanha; Meteorologia

Palavras-chave

Artificial Neural Networks (ANNs); Virtual Weather Station (VWS) concept; agro-meteorology; daily average temperature; daily global solar irradiation; daily maximum temperature; daily minimum temperature; evapotranspiration; spatial interpolation

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tempo (Meteorologia) / Redes Neurais de Computação Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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