Publications by the researcher in collaboration with David Casillas Pérez (44)

2025

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

    Renewable and Sustainable Energy Reviews, Vol. 209

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

    Atmospheric Environment, Vol. 347

  3. 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

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

    Remote Sensing, Vol. 17, Núm. 3

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

    Energy and AI, Vol. 20

2024

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

    Computers and Operations Research, Vol. 163

  2. 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

  3. CoSeNet: A novel approach for optimal segmentation of correlation matrices

    Digital Signal Processing: A Review Journal, Vol. 144

  4. Collaboration and competition spatial complex networks in regional science

    Journal of Ambient Intelligence and Humanized Computing, Vol. 15, Núm. 3, pp. 1995-2008

  5. Electricity demand error corrections with attention bi-directional neural networks

    Energy, Vol. 291

  6. Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach

    Applied Energy, Vol. 374

  7. Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model

    IEEE Access, Vol. 12, pp. 58750-58777

  8. Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model

    Engineering Applications of Artificial Intelligence, Vol. 135

  9. Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model

    Engineering Applications of Artificial Intelligence, Vol. 132

  10. Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model

    Applied Energy, Vol. 359

  11. Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting

    Applied Energy, Vol. 353

  12. Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model

    Expert Systems with Applications, Vol. 236

  13. Wavelet-fusion image super-resolution model with deep learning for downscaling remotely-sensed, multi-band spectral albedo imagery

    Remote Sensing Applications: Society and Environment, Vol. 36

2023

  1. A Flexible Architecture Using Temporal, Spatial and Semantic Correlation-Based Algorithms for Story Segmentation of Broadcast News

    IEEE/ACM Transactions on Audio Speech and Language Processing, Vol. 31, pp. 3055-3069

  2. A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction

    Energy, Vol. 275