Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 30 checked references that resolve
resolves10.3390/s140406758Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors
resolves10.1007/s12145-013-0120-8Assessment of the availability of near-real time open weather data provided by networks of surface stations in Spain
resolves10.1016/j.eswa.2011.01.085Estimation of solar radiation using artificial neural networks with different input parameters for Mediterranean region of Anatolia in Turkey
resolves10.1175/2057.1Neural Network Classifiers for Local Wind Prediction
resolves10.1016/j.energy.2011.06.044Generation of synthetic daily global solar radiation data based on ERA-Interim reanalysis and artificial neural networks
resolves10.1504/IJAISC.2008.021264Artificial Intelligence technique for modelling and forecasting of solar radiation data: a review
resolves10.1016/j.solener.2010.02.006A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy
resolves10.1016/j.solener.2014.04.009Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization – Extreme Learning Machine approach
resolves10.1016/j.energy.2010.10.032Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation
resolves10.1002/met.1387Twenty four hours ahead global irradiation forecasting using multi-layer perceptron
resolves10.3390/en5051355Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters
The 24 references without a DOI — listed, not checked
no DOI — not checkedAEMET, 2011. Atlas climático Ibérico. <http://www.aemet.es/documentos/es/conocermas/publicaciones/Atlas-climatologico/Atlas.pdf>.
no DOI — not checkedAENOR, 2004. UNE 500540 Directrices para la validación de registros meteorológicos procedentes de redes de estaciones automáticas y validación en tiempo real. <http://www.aenor.es/aenor/normas/normas/fichanorma.asp?tipo=N&codigo=N0031912#.VdyGGfZ_NBc>.
no DOI — not checked10.1016/j.solener.2016.04.020_b0020
no DOI — not checkedCastro, M., Martín-Vide, J., Alonso, S., 2005. El clima de España: pasado, presente y escenarios de clima para el siglo XXI. <http://digital.csic.es/bitstream/10261/35782/1/090471228000f24f_tcm7-12417.pdf>.
no DOI — not checkedEstévez, J., Gavilán, P., 2008. Procedimientos de Validación de Datos de Estaciones Meteorológicas Automáticas. Aplicación a la Red de Información Agroclimática de Andalucía. SERVIFAPA 2008. <http://www.juntadeandalucia.es/agriculturaypesca/ifapa/servifapa/contenidoAlf?id=52392b22-6860-4efd-8b9a-32dfb0275646>.
no DOI — not checkedFritsch, S., Guenther, F., 2015. neuralnet: Training of Neural Networks. R Package Version 1.32. <http://CRAN.R-project.org/package=neuralnet>.
no DOI — not checked10.1016/j.solener.2016.04.020_b0060
no DOI — not checkedA method for determining the solar global and defining the diffuse and beam irradiation on a clear day
no DOI — not checkedITACYL, 2013. Atlas Agroclímatico de Castilla y León. <http://www.atlas.itacyl.es>; <http://ftp.itacyl.es/Atlas_Agroclimatico/00_DocumentoAtlas/Atlas%20Agroclimatico%20CyL2013_00.zip>.
no DOI — not checkedITACYL, 2014. Qué es el Instituto Tecnológico Agrario de Castilla y León? <http://www.itacyl.es/opencms_wf/opencms/itacyl/quienes_somos/que_es_itacyl/index.html>.
no DOI — not checkedITACYL, 2015. Geoportal: Acceso a Datos. <ftp://ftp.itacyl.es>.
no DOI — not checked10.1016/j.solener.2016.04.020_b0100
no DOI — not checkedKuhn, M., 2015. caret: Classification and Regression Training. R Package Version 6.0-47. <http://CRAN.R-project.org/package=caret>.
no DOI — not checkedSolar radiation forecast using artificial neural networks
no DOI — not checkedMarquez, R., Coimbra, C., 2012b. Comparison of clear-sky models for evaluating solar forecast skill. In: Proc. of the World Renewable Energy Forum. Denver, Colorado, USA, pp. 4443–4449. <http://ases.conference-services.net/resources/252/2859/pdf/SOLAR2012_0575_full%20paper.pdf>.
no DOI — not checkedMora-García, M., 2012. University of Salamanca, Spain. PhD Thesis: “La actividad tormentosa en Castilla y León: Análisis microescalar y modelos conceptuales”. <http://gredos.usal.es/jspui/bitstream/10366/121396/1/DFGA_MoraGarciaManuelAntonio_Tesis.pdf>.
no DOI — not checkedORACLE, 2016. Oracle Database Online Documentation 11g Release 1: Logical Database Limits. <https://docs.oracle.com/cd/B28359_01/server.111/b28320/limits003.htm>.
no DOI — not checkedPerpiñán, O., 2008. Grandes Centrales Fotovoltaicas: producción, seguimiento y ciclo de vida. ETSI Industriales – Universidad Nacional de Educación a Distancia, Madrid, España. <http://e-spacio.uned.es/fez/eserv/tesisuned:IngInd-Operpinan/GrandesCentrales.pdf>.
no DOI — not checked10.1016/j.solener.2016.04.020_b0215
no DOI — not checked10.1016/j.solener.2016.04.020_b0220
no DOI — not checkedRipley, B., 2015. RODBC: ODBC Database Access. <http://CRAN.R-project.org/package=RODBC>.
no DOI — not checkedSerradilla, F., 2015. Salmon: Manual de salmon. <http://aicu.eui.upm.es/wordpress/productos/manual-de-salmon>.
no DOI — not checkedEstimation of surface solar radiation with artificial neural networks
no DOI — not checkedArtificial neural network based prediction of solar radiation for Indian stations
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