Publicaciones en colaboración con investigadores/as de University of Helsinki (16)

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

    EDULEARN18 Proceedings: 10th International Conference on Education and New Learning Technology (July 2nd-4th, 2018, Palma, Spain)

  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. 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

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

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

2016

  1. Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel

    International Journal of Information Technology and Decision Making, Vol. 15, Núm. 5, pp. 1211-1234

2015

  1. A numerical-informational approach for characterising the ductile behaviour of the T-stub component. Part 1: Refined finite element model and test validation

    Engineering Structures, Vol. 82, pp. 236-248

  2. A numerical-informational approach for characterising the ductile behaviour of the T-stub component. Part 2: Parsimonious soft-computing-based metamodel

    Engineering Structures, Vol. 82, pp. 249-260

  3. GA-PARSIMONY: A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnace

    Applied Soft Computing Journal, Vol. 35, pp. 13-28

  4. 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. Current status and future trends of the evaluation of solar global irradiation using soft-computing-based models

    Soft Computing Applications for Renewable Energy and Energy Efficiency, pp. 1-22

  2. Hybrid modelling of multilayer perceptron ensembles for predicting the response of bolted lap joints

    Logic Journal of the IGPL, Vol. 23, Núm. 3, pp. 451-462

  3. Towards downscaling of aerosol gridded dataset for improving solar resource assessment, an application to Spain

    Renewable Energy, Vol. 71, pp. 534-544