Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches - Pérez-Aracil, J.; Camacho-Gómez, C.; Hernández-Díaz, A.M.; Pereira, E.; Camacho, D.; Salcedo-Sanz, S. (Swarm And Evolutionary Computation, 2021)

Study on the isolator-structure interaction. influence on the supporting structure - Pérez-Aracil, J.; Pereira, E.; Díaz, I.M.; Reynolds, P. (Lecture Notes In Electrical Engineering, 2021)

Passive and active vibration isolation under isolator-structure interaction: application to vertical excitations - Pérez-Aracil, J.; Pereira, E.; Díaz, I.M.; Reynolds, P. (Meccanica, 2021)

Eliminating Stick-Slip Vibrations in Drill-Strings with a Dual-Loop Control Strategy Optimised by the CRO-SL Algorithm - Pérez-Aracil, J.; Camacho-Gómez, C.; Pereira, E.; Vaziri, V.; Aphale, S.S.; Salcedo-Sanz, S. (Mathematics, 2021)

Optimal vibration isolation and alignment over non-rigid bases with the CRO-SL ensemble - Pérez-Aracil, J.; Camacho-Gómez, C.; Reynolds, P.; Pereira, E.; Salcedo-Sanz, S. (Engineering Applications Of Artificial Intelligence, 2022)

Analysis of Machine Learning Approaches' Performance in Prediction Problems with Human Activity Patterns - Torres-López, R.; Casillas-Pérez, D.; Pérez-Aracil, J.; Cornejo-Bueno, L.; Alexandre, E.; Salcedo-Sanz, S. (Mathematics, 2022)

Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories - Hernández-Díaz, A.M.; Pérez-Aracil, J.; Casillas-Perez, D.; Pereira, E.; Salcedo-Sanz, S. (Applied Soft Computing, 2022)

A versatile multi-method ensemble for wind farm - Pérez-Aracil, J.; Casillas-Pérez, D.; Jiménez-Fernández, S.; Prieto-Godino, L.; Salcedo-Sanz, S. (JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2022)

Submerged Arches Optimal Design with a Multi-Method Ensemble Meta-Heuristic Approach - Perez-Aracil, J.; Camacho-Gomez, C.; Hernandez-Diaz, A.M.; Pereira, E.; Salcedo-Sanz, S. (IEEE Access, 2020)

Vibration isolation and alignment of multiple platforms on a non-rigid supporting structure - Pérez-Aracil, J.; Pereira, E.; Aphale, S.S.; Reynolds, P. (Actuators, 2020)

Design and experimental characterization of a novel passive magnetic levitating platform - Alcover-Sanchez, R.; Soria, J.M.; Pérez-Aracil, J.; Pereira, E.; Diez-Jimenez, E. (Smart Structures and Systems, 2022)

Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm - Marcelino, C.G.; Wanner, E.F.; Martins, F.V.C.; Perez-Aracil, J.; Jimenez-Fernandez, S.; Salcedo-Sanz, S. (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, 2022)

A hierarchical classification/regression algorithm for improving extreme wind speed events prediction - Peláez-Rodríguez, C.; Pérez-Aracil, J.; Fister, D.; Prieto-Godino, L.; Deo, R.C.; Salcedo-Sanz, S. (Renewable Energy, 2022)

One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques - Gómez-Orellana, A.M.; Guijo-Rubio, D.; Pérez-Aracil, J.; Gutiérrez, P.A.; Salcedo-Sanz, S.; Hervás-Martínez, C. (Atmospheric Research, 2023)

Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques - Fister, D.; Pérez-Aracil, J.; Peláez-Rodríguez, C.; Del Ser, J.; Salcedo-Sanz, S. (Applied Soft Computing, 2023)

Cross-entropy boosted CRO-SL for optimal power flow in smart grids - Marcelino, C.G.; Pérez-Aracil, J.; Wanner, E.F.; Jiménez-Fernández, S.; Leite, G.M.C.; Salcedo-Sanz, S. (Soft Computing, 2023)

Extreme Low-Visibility Events Prediction Based on Inductive and Evolutionary Decision Rules: An Explicability-Based Approach - Peláez-Rodríguez, C.; Marina, C.M.; Pérez-Aracil, J.; Casanova-Mateo, C.; Salcedo-Sanz, S. (Atmosphere, 2023)

New Probabilistic, Dynamic Multi-Method Ensembles for Optimization Based on the CRO-SL - Pérez-Aracil, J.; Camacho-Gómez, C.; Lorente-Ramos, E.; Marina, C.M.; Cornejo-Bueno, L.M.; Salcedo-Sanz, S. (Mathematics, 2023)

Deep learning ensembles for accurate fog-related low-visibility events forecasting - Peláez-Rodríguez, C.; Pérez-Aracil, J.; de Lopez-Diz, A.; Casanova-Mateo, C.; Fister, D.; Jiménez-Fernández, S.; Salcedo-Sanz, S. (Neurocomputing, 2023)

Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms - Pérez-Aracil, J.; Hernández-Díaz, A.M.; Marina, C.M.; Salcedo-Sanz, S. (Expert Systems with Applications, 2023)

Evolutionary Computation-Based Active Mass Damper Implementation for Vibration Mitigation in Slender Structures Using a Low-Cost Processor - Peláez-Rodríguez, C.; Magdaleno, A.; Iglesias-Pordomingo, Á.; Pérez-Aracil, J. (Actuators, 2023)

A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction - Peláez-Rodríguez, C.; Pérez-Aracil, J.; Prieto-Godino, L.; Ghimire, S.; Deo, R.C.; Salcedo-Sanz, S. (Journal of Wind Engineering and Industrial Aerodynamics, 2023)

Machine Learning Classification?Regression Schemes for Desert Locust Presence Prediction in Western Africa - Cornejo-Bueno, L.; Pérez-Aracil, J.; Casanova-Mateo, C.; Sanz-Justo, J.; Salcedo-Sanz, S. (Applied Sciences (Switzerland), 2023)

Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review - Salcedo-Sanz, S.; Pérez-Aracil, J.; Ascenso, G.; Del Ser, J.; Casillas-Pérez, D.; Kadow, C.; Fister, D.; Barriopedro, D.; García-Herrera, R.; Giuliani, M.; Castelletti, A. (Theoretical and Applied Climatology, 2023)

Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information - Liz-López, H.; Huertas-Tato, J.; Pérez-Aracil, J.; Casanova-Mateo, C.; Sanz-Justo, J.; Camacho, D. (Knowledge-Based Systems, 2024)

A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic - Peláez-Rodríguez, C.; Pérez-Aracil, J.; Marina, C.M.; Prieto-Godino, L.; Casanova-Mateo, C.; Gutiérrez, P.A.; Salcedo-Sanz, S. (Knowledge-Based Systems, 2024)

Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches[Formula presented] - Peláez-Rodríguez, C.; Pérez-Aracil, J.; Fister, D.; Torres-López, R.; Salcedo-Sanz, S. (Expert Systems With Applications, 2024)

Improving the prediction of extreme wind speed events with generative data augmentation techniques - Vega-Bayo, M.; Pérez-Aracil, J.; Prieto-Godino, L.; Salcedo-Sanz, S. (Renewable Energy, 2024)

Evolving interpretable decision trees for reinforcement learning - Costa, V.G.; Pérez-Aracil, J.; Salcedo-Sanz, S.; Pedreira, C.E. (Artificial Intelligence, 2024)

An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression - Peláez-Rodríguez, C.; Torres-López, R.; Pérez-Aracil, J.; López-Laguna, N.; Sánchez-Rodríguez, S.; Salcedo-Sanz, S. (Computer Methods And Programs In Biomedicine, 2024)

Efficient prediction of fog-related low-visibility events with Machine Learning and evolutionary algorithms - Peláez-Rodríguez, C.; Pérez-Aracil, J.; Casanova-Mateo, C.; Salcedo-Sanz, S. (Atmospheric Research, 2023)

The Economic Impact Associated with the Direct Connection Strength of Micropiles in Foundation Retrofit Projects - Pellicer-Martínez, F.; Martínez-Lirón, V.; Hernández-Díaz, A.M.; Pérez-Aracil, J.; López-Juárez, J.A. (Buildings, 2023)

Go-around occurrence prediction with rule-induction, rule evolution and Machine Learning algorithms - Marina, C.M.; Pérez-Aracil, J.; Lorente-Ramos, E.; Casanova-Mateo, C.; Salcedo-Sanz, S. (Advanced Engineering Informatics, 2025)

Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting - Abad-Santjago, Á.; Peláez-Rodríguez, C.; Pérez-Aracil, J.; Sanz-Justo, J.; Casanova-Mateo, C.; Salcedo-Sanz, S. (Expert Systems, 2025)

Learning for Visible Light Communications: Potential Scenarios and Applications - Morales Cespedes, Maximo; Pérez Aracil, Jorge; Garcia Armada, Ana; Salcedo Sanz, Sancho (Ieee Consumer Electronics Magazine, 2025)

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm - Gómez-Orellana, A.M.; Vargas, V.M.; Guijo-Rubio, D.; Pérez-Aracil, J.; Gutiérrez, P.A.; Salcedo-Sanz, S.; Hervás-Martínez, C. (Lecture Notes In Computer Science, 2024)

Autoencoder Framework for General Forecasting - Fister, D.; Peláez-Rodríguez, C.; Cornejo-Bueno, L.; Pérez-Aracil, J.; Salcedo-Sanz, S. (Lecture Notes In Computer Science, 2024)

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy - Gómez-Orellana, A.M.; Vargas, V.M.; Gutiérrez, P.A.; Pérez-Aracil, J.; Salcedo-Sanz, S.; Hervás-Martínez, C.; Guijo-Rubio, D. (Lecture Notes In Computer Science, 2024)

Data Augmentation Techniques for Extreme Wind Prediction Improvement - Vega-Bayo, M.; Gómez-Orellana, A.M.; Yun, V.M.V.; Guijo-Rubio, D.; Cornejo-Bueno, L.; Pérez-Aracil, J.; Salcedo-Sanz, S. (Lecture Notes In Computer Science, 2024)

Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model - Peláez-Rodríguez, C.; Cornejo-Bueno, L.; Fister, D.; Pérez-Aracil, J.; Salcedo-Sanz, S. (Lecture Notes In Computer Science, 2024)

Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events - Peláez-Rodríguez, C.; Pérez-Aracil, J.; Gómez-Orellana, A.M.; Guijo-Rubio, D.; Vargas, V.M.; Gutiérrez, P.A.; Hervás-Martínez, C.; Salcedo-Sanz, S. (Applied Ocean Research, 2024)

Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction - Marina, C.M.; Lorente-Ramos, E.; Ayllón-Gavilán, R.; Gutiérrez, P.A.; Pérez-Aracil, J.; Salcedo-Sanz, S. (Lecture Notes In Computer Science, 2024)

TensorCRO: A TensorFlow-based implementation of a multi-method ensemble for optimization - Palomo-Alonso, A.; Costa, V.G.; Moreno-Saavedra, L.M.; Lorente-Ramos, E.; Pérez-Aracil, J.; Pedreira, C.E.; Salcedo-Sanz, S. (Expert Systems, 2024)

Interpretable extreme wind speed prediction with concept bottleneck models - Álvarez Rodríguez, Clara; Parrado Hernandez, Emilio; Pérez Aracil, Jorge; Prieto Godino, Luis; Salcedo Sanz, Sancho (Renewable Energy, 2024)

Long-term temperature prediction with hybrid autoencoder algorithms - Pérez-Aracil, J.; Fister, D.; Marina, C.M.; Peláez-Rodríguez, C.; Cornejo-Bueno, L.; Gutiérrez, P.A.; Giuliani, M.; Castelleti, A.; Salcedo-Sanz, S. (Applied Computing And Geosciences, 2024)

Machine learning as alternative strategy for the numerical prediction of the shear response in reinforced and prestressed concrete beams - Hernández-Díaz, A.M.; Pérez-Aracil, J.; Lorente-Ramos, E.; Marina, C.M.; Peláez-Rodríguez, C.; Salcedo-Sanz, S. (Results In Engineering, 2024)

An iterative neural network approach applied to human-induced force reconstruction using a non-linear electrodynamic shaker - Peláez-Rodríguez, C.; Magdaleno, Á.; García Terán, J.M.; Pérez-Aracil, J.; Salcedo-Sanz, S.; Lorenzana, A. (Heliyon, 2024)

Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions - Leite, G.M.C.; Pérez-Aracil, J.; Marcelino, C.G.; García-Gutiérrez, G.; Prodanovic, M.; García-Quismondo, E.; Pinilla, S.; Palma, J.; Jiménez-Fernández, S.; Salcedo-Sanz, S. (Lecture Notes In Computer Science, 2024)

Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach - Ghimire, S.; Deo, R.C.; Hopf, K.; Liu, H.; Casillas-Pérez, D.; Helwig, A.; Prasad, S.S.; Pérez-Aracil, J.; Barua, P.D.; Salcedo-Sanz, S. (Energy And Ai, 2025)

Spatio-temporal analysis of droughts in the Iberian Peninsula using complex Climate Networks over precipitation data - Chidean,M.I.; Pérez-Aracil,J.; Casillas-Pérez,D.; Caamaño-Fernández,A.; Salcedo-Sanz,S. (Journal Of Environmental Management, 2025)

Economic analysis about the influence of the direct connection micropile-foundation on the underpinning project costs - Pellicer-Martínez, Francisco; Vicente S. Martínez Lirón; Alejandro M. Hernández Díaz; José A. López Juárez; Jorge Pérez Aracil (CMMost 2021: 6th International Conference on Mechanical Models in Structural Engineering, 2022)

Artificial intelligence for modeling and understanding extreme weather and climate events - Camps-Valls, G.; Fernández-Torres, M.-Á.; Cohrs, K.-H.; Höhl, A.; Castelletti, A.; Pacal, A.; Robin, C.; Martinuzzi, F.; Papoutsis, I.; Prapas, I.; Pérez-Aracil, J.; Weigel, K.; et al. (Nature Communications, 2025)

A comparative study of different kinematic wake models within metaheuristics for efficient wind farm layout optimization - Romero-Barrera,A.J.; Casillas-Pérez,D.; Cornejo-Bueno,L.; Pérez-Aracil,J.; Paricio-Garcia,A.; Lopez-Carmona,M.A.; Blanco-Sancho,J.; Ghimire,S.; Deo,R.C.; Caamaño,A.J.; Salcedo-Sanz,S. (Results in Engineering, 2025)

Efficient design of electromagnetic field exposure maps with multi-method evolutionary ensembles - Guillén-Pina,J.; Pérez-Aracil,J.; Chocano-del-Cerro,R.; Sánchez-Montero,R.; López-Espí,P.-L.; Salcedo-Sanz,S. (Environmental Research, 2025)

Predicting weather-related power outages in large scale distribution grids with deep learning ensembles - Prieto-Godino,L.; Peláez-Rodríguez,C.; Pérez-Aracil,J.; Pastor-Soriano,J.; Salcedo-Sanz,S. (International Journal of Electrical Power and Energy Systems, 2025)

Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection - Pérez-Aracil,J.; Peláez-Rodríguez,C.; McAdam,R.; Squintu,A.; Marina,C.M.; Lorente-Ramos,E.; Luther,N.; Torralba,V.; Scoccimarro,E.; Cavicchia,L.; Giuliani,M.; Zorita,E.; et al. (Weather and Climate Extremes, 2025)

Detection and attribution of heat waves with the Multivariate Autoencoder Flow-Analogue Method (MvAE-AM) - Marina,C.M.; Pérez-Aracil,J.; McAdam,R.; Lorente-Ramos,E.; Luther,N.; Zorita,E.; Scoccimarro,E.; Luterbacher,J.; Xoplaki,E.; Salcedo-Sanz,S. (Atmospheric Research, 2026)

Proyecto rural VPP: implementación de plantas virtuales de potencia en áreas rurales - César Felipe Lozano Sánchez de la Morena; Carlos Santos Pérez; Jorge Pérez Aracil; Silvia Jiménez Fernández; Francisco Javier Rodríguez Sánchez; Pedro Martín Sánchez; Miguel Tradacete Ágreda; Alejandro Martín Zamora (Universidad y cooperación al desarrollo: nuevos escenarios y retos, 2025)

Enhancing wind speed prediction in wind farms through ordinal classification - Gómez-Orellana,A.M.; Vega-Bayo,M.; Guijo-Rubio,D.; Pérez-Aracil,J.; Vargas,V.M.; Gutiérrez,P.A.; Prieto-Godino,L.; Salcedo-Sanz,S.; Hervás-Martínez,C. (Energy and AI, 2025)

An improved machine learning strategy for shear analysis in structural concrete based on the Newton's method and the solvability region of the steel constitutive model - Lorente-Ramos,E.; Hernández-Díaz,A.M.; Pérez-Aracil,J.; Salcedo-Sanz,S. (Journal of Computational Physics, 2025)