Publications dans lesquelles il/elle collabore avec Jorge Pérez Aracil (51)

2025

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

    Results in Engineering, Vol. 26

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

    Nature Communications , Vol. 16, Núm. 1

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

    Environmental Research, Vol. 278

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

    Advanced Engineering Informatics, Vol. 65

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

    Energy and AI, Vol. 20

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

    Expert Systems, Vol. 42, Núm. 2

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

    IEEE Consumer Electronics Magazine

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

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

  9. 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

  5. Autoencoder Framework for General Forecasting

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

  6. 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

  7. Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches[Formula presented]

    Expert Systems with Applications, Vol. 238

  8. Data Augmentation Techniques for Extreme Wind Prediction Improvement

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

  9. Energy Flux Prediction Using an Ordinal Soft Labelling Strategy

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

  10. Evolving interpretable decision trees for reinforcement learning

    Artificial Intelligence, Vol. 327

  11. Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events

    Applied Ocean Research, Vol. 153