Publicaciones en las que colabora con Sancho Salcedo Sanz (12)

2024

  1. Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review

    Theoretical and Applied Climatology, Vol. 155, Núm. 1, pp. 1-44

2023

  1. Heat Waves: Physical Understanding and Scientific Challenges

    Reviews of Geophysics, Vol. 61, Núm. 2

2021

  1. k-Gaps: a novel technique for clustering incomplete climatological time series

    Theoretical and Applied Climatology, Vol. 143, Núm. 1-2, pp. 447-460

2020

  1. Selection of optimal proxy locations for temperature field reconstructions using evolutionary algorithms

    Scientific Reports, Vol. 10, Núm. 1

2019

  1. Near-optimal selection of representative measuring points for robust temperature field reconstruction with the CRO-SL and analogue methods

    Global and Planetary Change, Vol. 178, pp. 15-34

2018

  1. Feature selection in machine learning prediction systems for renewable energy applications

    Renewable and Sustainable Energy Reviews, Vol. 90, pp. 728-741

  2. Wind power field reconstruction from a reduced set of representative measuring points

    Applied Energy, Vol. 228, pp. 1111-1121

2017

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

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

2014

  1. Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization - Extreme learning machine approach

    Energy Conversion and Management, Vol. 87, pp. 10-18

2013

  1. Multi-decadal variability in a centennial reconstruction of daily wind

    Applied Energy, Vol. 105, pp. 30-46

2011

  1. Extraction of synoptic pressure patterns for long-term wind speed estimation in wind farms using evolutionary computing

    Energy, Vol. 36, Núm. 3, pp. 1571-1581

2009

  1. Spatial regression analysis of NOx and O3 concentrations in Madrid urban area using Radial Basis Function networks

    Chemometrics and Intelligent Laboratory Systems, Vol. 99, Núm. 1, pp. 79-90