Publicaciones en colaboración con investigadores/as de University of Helsinki (13)

2019

  1. Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method

    Sensors (Basel, Switzerland), Vol. 19, Núm. 11

2018

  1. 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

  2. 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

  3. MOTIVATION STRATEGIES FOR ENGINEERING DEGREES COMBINING PBL, SBL AND GAMING

    EDULEARN18: 10TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES

  4. Quantifying the amplified bias of PV system simulations due to uncertainties in solar radiation estimates

    Solar Energy, pp. 663-677

  5. Sources of uncertainty in annual global horizontal irradiance data

    Solar Energy, Vol. 170, pp. 873-884

2017

  1. 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

  2. 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

  3. 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

  4. Quality control of global solar radiation data with satellite-based products

    Solar Energy, Vol. 158, pp. 49-62

2016

  1. 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

  1. 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

  1. Soft computing metamodels for the failure prediction of T-stub bolted connections

    Advances in Intelligent Systems and Computing, pp. 41-51