Publicaciones en las que colabora con Pedro Antonio Gutiérrez Peña (29)

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

2023

  1. One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques

    Atmospheric Research, Vol. 284

2022

  1. Machine learning regression and classification methods for fog events prediction

    Atmospheric Research, Vol. 272

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. Multi-task learning for the prediction of wind power ramp events with deep neural networks

    Neural Networks, Vol. 123, pp. 401-411

  4. Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing

    Neural Processing Letters, Vol. 52, Núm. 1, pp. 57-74

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

    Atmospheric Research, Vol. 236

  6. Prediction of convective clouds formation using evolutionary neural computation techniques

    Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13917-13929

2019

  1. Dynamical memetization in coral reef optimization algorithms for optimal time series approximation

    Progress in Artificial Intelligence, Vol. 8, Núm. 2, pp. 253-262

2018

  1. A mixture of experts model for predicting persistent weather patterns

    Proceedings of the International Joint Conference on Neural Networks

  2. A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series

    Applied Soft Computing Journal, Vol. 63, pp. 139-153

  3. An empirical validation of a new memetic CRO algorithm for the approximation of time series

    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

  5. Wind power ramp events ordinal prediction using minimum complexity echo state networks

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

2017

  1. A coral reef optimization algorithm for wave height time series segmentation problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 673-684

  2. Combining reservoir computing and over-sampling for ordinal wind power ramp prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 708-719

  3. Robust estimation of wind power ramp events with reservoir computing

    Renewable Energy, Vol. 111, pp. 428-437

2016

  1. A review of classification problems and algorithms in renewable energy applications

    Energies, Vol. 9, Núm. 8

  2. Multiclass prediction of wind power ramp events combining reservoir computing and support vector machines

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