Sancho
Salcedo Sanz
Catedrático/a de Universidad
Universidad Rey Juan Carlos
Madrid, EspañaPublications in collaboration with researchers from Universidad Rey Juan Carlos (50)
2024
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A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system
Computers and Operations Research, Vol. 163
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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
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Collaboration and competition spatial complex networks in regional science
Journal of Ambient Intelligence and Humanized Computing, Vol. 15, Núm. 3, pp. 1995-2008
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Electricity demand error corrections with attention bi-directional neural networks
Energy, Vol. 291
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Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach
Applied Energy, Vol. 374
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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
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Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model
Engineering Applications of Artificial Intelligence, Vol. 135
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Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model
Engineering Applications of Artificial Intelligence, Vol. 132
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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
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Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting
Applied Energy, Vol. 353
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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
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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
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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
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A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Energy, Vol. 275
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Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression
Renewable Energy, Vol. 203, pp. 113-130
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Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images
IEEE Access, Vol. 11, pp. 5558-5577
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Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach
Energy Conversion and Management, Vol. 297
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Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction
Computer Methods and Programs in Biomedicine, Vol. 241
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Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction
Cognitive Computation, Vol. 15, Núm. 2, pp. 645-671
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Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables
Energy and AI, Vol. 14