RT info:eu-repo/semantics/article
T1 Prediction of horizontal daily global solar irradiation using artificial neural networks (ANNs) in the Castile and León region, Spain
A1 Diez, Francisco Javier
A1 Navas Gracia, Luis Manuel
A1 Chico Santamarta, Leticia
A1 Correa Guimaraes, Adriana
A1 Martínez Rodríguez, Andrés
K1 Solar irradiation
K1 Irradiación solar
K1 Evapotranspiration
K1 Evapotranspiración
K1 Agrometeorology
K1 Agrometeorología
K1 Artificial neuronal networks
K1 Redes neuronales artificiales
AB This article evaluates horizontal daily global solar irradiation predictive modelling using artificial neural networks (ANNs) for its application in agricultural sciences and technologies. An eight year data series (i.e., training networks period between 2004–2010, with 2011 as the validation year) was measured at an agrometeorological station located in Castile and León, Spain, owned by the irrigation advisory system SIAR. ANN models were designed and evaluated with different neuron numbers in the input and hidden layers. The only neuron used in the outlet layer was the global solar irradiation simulated the day after. Evaluated values of the input data were the horizontal daily global irradiation of the current day [H(t)] and two days before [H(t−1), H(t−2)], the day of the year [J(t)], and the daily clearness index [Kt(t)]. Validated results showed that best adjustment models are the ANN 7 model (RMSE = 3.76 MJ/(m2·d), with two inputs ([H(t), Kt(t)]) and four neurons in the hidden layer) and the ANN 4 model (RMSE = 3.75 MJ/(m2·d), with two inputs ([H(t), J(t)]) and two neurons in the hidden layer). Thus, the studied ANN models had better results compared to classic methods (CENSOLAR typical year, weighted moving mean, linear regression, Fourier and Markov analysis) and are practically easier as they need less input variables.
PB MDPI
SN 2073-4395
YR 2020
FD 2020
LK https://uvadoc.uva.es/handle/10324/52811
UL https://uvadoc.uva.es/handle/10324/52811
LA eng
NO Agronomy, 2020, vol. 10, n. 1, 96
NO Producción Científica
DS UVaDOC
RD 22-dic-2024