Jorge Pérez-Aracil
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Accurate long-term air temperature prediction with machine learning models and data reduction techniques
D Fister, J Pérez-Aracil, C Peláez-Rodríguez, J Del Ser, S Salcedo-Sanz
Applied Soft Computing 136, 110118, 2023
Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
S Salcedo-Sanz, J Pérez-Aracil, G Ascenso, J Del Ser, D Casillas-Pérez, ...
Theoretical and Applied Climatology 155 (1), 1-44, 2024
A hierarchical classification/regression algorithm for improving extreme wind speed events prediction
C Peláez-Rodríguez, J Pérez-Aracil, D Fister, L Prieto-Godino, RC Deo, ...
Renewable Energy 201, 157-178, 2022
A versatile multi-method ensemble for wind farm layout optimization
J Pérez-Aracil, D Casillas-Pérez, S Jiménez-Fernández, L Prieto-Godino, ...
Journal of Wind Engineering and Industrial Aerodynamics 225, 104991, 2022
Deep learning ensembles for accurate fog-related low-visibility events forecasting
C Peláez-Rodríguez, J Pérez-Aracil, A de Lopez-Diz, C Casanova-Mateo, ...
Neurocomputing 549, 126435, 2023
Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches
J Pérez-Aracil, C Camacho-Gómez, AM Hernández-Díaz, E Pereira, ...
Swarm and Evolutionary Computation 67, 100958, 2021
Effect of Vinyl flooring on the modal properties of a steel footbridge
JF Jiménez-Alonso, J Pérez-Aracil, AM Hernandez Diaz, A Sáez
Applied Sciences 9 (7), 1374, 2019
Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms
AM Hernández-Díaz, A Bueno-Crespo, J Pérez-Aracil, JM Cecilia
Applied Soft Computing 71, 826-834, 2018
Eliminating stick-slip vibrations in drill-strings with a dual-loop control strategy optimised by the CRO-SL algorithm
J Pérez-Aracil, C Camacho-Gómez, E Pereira, V Vaziri, SS Aphale, ...
Mathematics 9 (13), 1526, 2021
Submerged arches optimal design with a multi-method ensemble meta-heuristic approach
J Pérez-Aracil, C Camacho-Gómez, AM Hernández-Díaz, E Pereira, ...
IEEE Access 8, 215057-215072, 2020
Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms
J Pérez-Aracil, AM Hernández-Díaz, CM Marina, S Salcedo-Sanz
Expert Systems With Applications 225, 119987, 2023
One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques
AM Gómez-Orellana, D Guijo-Rubio, J Pérez-Aracil, PA Gutiérrez, ...
Atmospheric Research 284, 106608, 2023
Extreme low-visibility events prediction based on inductive and evolutionary decision rules: an explicability-based approach
C Peláez-Rodríguez, CM Marina, J Pérez-Aracil, C Casanova-Mateo, ...
Atmosphere 14 (3), 542, 2023
Efficient prediction of fog-related low-visibility events with Machine Learning and evolutionary algorithms
C Peláez-Rodríguez, J Pérez-Aracil, C Casanova-Mateo, S Salcedo-Sanz
Atmospheric Research 295, 106991, 2023
Machine learning classification–regression schemes for desert locust presence prediction in western Africa
L Cornejo-Bueno, J Pérez-Aracil, C Casanova-Mateo, J Sanz-Justo, ...
Applied Sciences 13 (14), 8266, 2023
Cross-entropy boosted CRO-SL for optimal power flow in smart grids
CG Marcelino, J Pérez-Aracil, EF Wanner, S Jiménez-Fernández, ...
Soft computing 27 (10), 6549-6572, 2023
Passive and active vibration isolation under isolator-structure interaction: application to vertical excitations
J Pérez-Aracil, E Pereira, IM Díaz, P Reynolds
Meccanica 56 (8), 1921-1935, 2021
Evolving interpretable decision trees for reinforcement learning
VG Costa, J Pérez-Aracil, S Salcedo-Sanz, CE Pedreira
Artificial Intelligence 327, 104057, 2024
A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction
C Peláez-Rodríguez, J Pérez-Aracil, L Prieto-Godino, S Ghimire, RC Deo, ...
Journal of Wind Engineering and Industrial Aerodynamics 240, 105507, 2023
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches
C Peláez-Rodríguez, J Pérez-Aracil, D Fister, R Torres-López, ...
Expert Systems with Applications 238, 122264, 2024
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