Publications (181) Publications in which a researcher has participated View referenced research data.

filter_list

2025

  1. Artificial intelligence for modeling and understanding extreme weather and climate events

    Nature Communications , Vol. 16, Núm. 1

  2. Electricity demand uncertainty modeling with Temporal Convolution Neural Network models

    Renewable and Sustainable Energy Reviews, Vol. 209

  3. Evolutionary optimization of spatially-distributed multi-sensors placement for indoor surveillance environments with security levels

    Future Generation Computer Systems, Vol. 166

  4. Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction

    Atmospheric Environment, Vol. 347

  5. Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts

    Applied Energy, Vol. 378

  6. Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps

    Remote Sensing, Vol. 17, Núm. 3

  7. Go-around occurrence prediction with rule-induction, rule evolution and Machine Learning algorithms

    Advanced Engineering Informatics, Vol. 65

  8. Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach

    Energy and AI, Vol. 20

  9. Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting

    Expert Systems, Vol. 42, Núm. 2

  10. Learning for Visible Light Communications: Potential Scenarios and Applications

    IEEE Consumer Electronics Magazine

  11. Special-Crowd-Distance Boosted MESH Applied to the Operation of Cascade Hydro-Power Plants

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

2024

  1. A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

    Knowledge-Based Systems, Vol. 291

  2. A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system

    Computers and Operations Research, Vol. 163

  3. An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression

    Computer Methods and Programs in Biomedicine, Vol. 245

  4. An iterative neural network approach applied to human-induced force reconstruction using a non-linear electrodynamic shaker

    Heliyon, Vol. 10, Núm. 12

  5. 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

  6. Aprendizaje basado en proyectos de Diseño Mecánico Avanzado: del diseño conceptual al diseño de fabricación

    Libro de actas del I Congreso en Innovación Docente de las Universidades Madrileñas: MadrID. Universidad Autónoma de Madrid, 3 y 4 de octubre de 2024 (UAM), pp. 51-59

  7. Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry

    IEEE Access, Vol. 12, pp. 72530-72543

  8. Autoencoder Framework for General Forecasting

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

  9. Autoencoder-based flow-analogue probabilistic reconstruction of heat waves from pressure fields

    Annals of the New York Academy of Sciences, Vol. 1541, Núm. 1, pp. 230-242