Rubén
Urraca Valle
DOCTOR
University of Helsinki
Helsinki, FinlandiaPublicacións en colaboración con investigadores/as de University of Helsinki (13)
2019
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Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method
Sensors (Basel, Switzerland), Vol. 19, Núm. 11
2018
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A review of makerspaces for stem degrees and the UR-Maker experience
Edulearn 18. 10th International Conference on Education and New Learning Technology: (Palma, 2nd-4th of July, 2018). Conference proceedings
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Evaluation of global horizontal irradiance estimates from ERA5 and COSMO-REA6 reanalyses using ground and satellite-based data
Solar Energy, Vol. 164, pp. 339-354
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MOTIVATION STRATEGIES FOR ENGINEERING DEGREES COMBINING PBL, SBL AND GAMING
EDULEARN18: 10TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES
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Quantifying the amplified bias of PV system simulations due to uncertainties in solar radiation estimates
Solar Energy, pp. 663-677
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Sources of uncertainty in annual global horizontal irradiance data
Solar Energy, Vol. 170, pp. 873-884
2017
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Estimation methods for global solar radiation: Case study evaluation of five different approaches in central Spain
Renewable and Sustainable Energy Reviews, Vol. 77, pp. 1098-1113
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Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning
Logic Journal of the IGPL, Vol. 25, Núm. 6, pp. 877-889
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Practical methodology for validating constitutive models for the simulation of rubber compounds in extrusion processes
International Journal of Advanced Manufacturing Technology, Vol. 90, Núm. 5-8, pp. 2377-2387
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Quality control of global solar radiation data with satellite-based products
Solar Energy, Vol. 158, pp. 49-62
2016
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Estimation of total soluble solids in grape berries using a hand-held NIR spectrometer under field conditions
Journal of the Science of Food and Agriculture, Vol. 96, Núm. 9, pp. 3007-3016
2015
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Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning
Lecture Notes in Computer Science, Vol. 9121, pp. 632-643
2014
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Soft computing metamodels for the failure prediction of T-stub bolted connections
Advances in Intelligent Systems and Computing, pp. 41-51