Publications dans lesquelles il/elle collabore avec Sancho Salcedo Sanz (17)

2023

  1. Machine Learning Classification–Regression Schemes for Desert Locust Presence Prediction in Western Africa

    Applied Sciences (Switzerland), Vol. 13, Núm. 14

2022

  1. Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives

    Applied Soft Computing, Vol. 118

2020

  1. Analysis and prediction of dammed water level in a hydropower reservoir using machine learning and persistence-based techniques

    Water (Switzerland), Vol. 12, Núm. 6

  2. Evolutionary artificial neural networks for accurate solar radiation prediction

    Energy, Vol. 210

  3. Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport

    Atmospheric Research, Vol. 236

  4. Persistence analysis and prediction of low-visibility events at valladolid airport, Spain

    Symmetry, Vol. 12, Núm. 6, pp. 1-18

2019

  1. Downscaling estadístico del servicio CAMS para la predicción de radiación solar global con datos Meteosat y técnicas de aprendizaje máquina

    Teledetección: hacia una visión global del cambio climático

  2. Machine learning regressors for solar radiation estimation from satellite data

    Solar Energy, Vol. 183, pp. 768-775

2018

  1. Efficient fog prediction with multi-objective evolutionary neural networks

    Applied Soft Computing Journal, Vol. 70, pp. 347-358

  2. Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting

    Engineering Applications of Artificial Intelligence, Vol. 69, pp. 157-167

  3. Merging ELMs with satellite data and clear-sky models for effective solar radiation estimation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Prediction of low-visibility events due to fog using ordinal classification

    Atmospheric Research, Vol. 214, pp. 64-73

2017

  1. A CRO-species optimization scheme for robust global solar radiation statistical downscaling

    Renewable Energy, Vol. 111, pp. 63-76

  2. Efficient Prediction of Low-Visibility Events at Airports Using Machine-Learning Regression

    Boundary-Layer Meteorology, Vol. 165, Núm. 2, pp. 349-370

  3. Efficient prediction of total column ozone based on support vector regression algorithms, numerical models and Suomi-satellite data

    Atmosfera, Vol. 30, Núm. 1, pp. 1-10

2016

  1. A novel Grouping Genetic Algorithm-Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs

    Solar Energy, Vol. 132, pp. 129-142

  2. Feature selection in solar radiation prediction using bootstrapped SVRs

    2016 IEEE Congress on Evolutionary Computation, CEC 2016