Publicacións nas que colabora con Jorge Pérez Aracil (58)

2026

  1. A probabilistic alert system for extreme wind events prediction using quantile regression ensembles

    Energy Conversion and Management, Vol. 347

  2. Detection and attribution of heat waves with the Multivariate Autoencoder Flow-Analogue Method (MvAE-AM)

    Atmospheric Research, Vol. 328

2025

  1. A comparative study of different kinematic wake models within metaheuristics for efficient wind farm layout optimization

    Results in Engineering, Vol. 26

  2. Accurate calibration of hydrological models with evolutionary computation multi-method ensembles

    Environmental Modelling and Software, Vol. 194

  3. An improved machine learning strategy for shear analysis in structural concrete based on the Newton's method and the solvability region of the steel constitutive model

    Journal of Computational Physics, Vol. 541

  4. Artificial Intelligence-Based Methods and Algorithms in Fog and Atmospheric Low-Visibility Forecasting

    Atmosphere, Vol. 16, Núm. 9

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

    Nature Communications , Vol. 16, Núm. 1

  6. Efficient design of electromagnetic field exposure maps with multi-method evolutionary ensembles

    Environmental Research, Vol. 278

  7. Enhancing wind speed prediction in wind farms through ordinal classification

    Energy and AI, Vol. 22

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

    Advanced Engineering Informatics, Vol. 65

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

    Energy and AI, Vol. 20

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

    Expert Systems, Vol. 42, Núm. 2

  11. Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection

    Weather and Climate Extremes, Vol. 49

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

    IEEE Consumer Electronics Magazine

  13. Predicting weather-related power outages in large scale distribution grids with deep learning ensembles

    International Journal of Electrical Power and Energy Systems, Vol. 170

  14. Spatio-temporal analysis of droughts in the Iberian Peninsula using complex Climate Networks over precipitation data

    Journal of Environmental Management, Vol. 390

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. 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

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

    Heliyon, Vol. 10, Núm. 12

  4. 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