Jorge Pérez-Aracil

Universidad de Alcalá

Spain

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Articles (20)

A probabilistic alert system for extreme wind events prediction using quantile regression ensembles

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Year:

2026

Enhancing wind speed prediction in wind farms through ordinal classification

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Year:

2025

Artificial Intelligence-Based Methods and Algorithms in Fog and Atmospheric Low-Visibility Forecasting

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Year:

2025

Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning

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Year:

2025

Accurate calibration of hydrological models with evolutionary computation multi-method ensembles

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Year:

2025

Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection

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Year:

2025

Efficient design of electromagnetic field exposure maps with multi-method evolutionary ensembles

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Year:

2025

Spatio-temporal analysis of droughts in the Iberian Peninsula using complex Climate Networks over precipitation data

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Year:

2025

Go-around occurrence prediction with rule-induction, rule evolution and Machine Learning algorithms

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Year:

2025

TensorCRO: A TensorFlow‐based implementation of a multi‐method ensemble for optimization

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Year:

2024

Machine Learning Classification–Regression Schemes for Desert Locust Presence Prediction in Western Africa

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Year:

2023

A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction

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Year:

2023

Evolutionary Computation-Based Active Mass Damper Implementation for Vibration Mitigation in Slender Structures Using a Low-Cost Processor

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Year:

2023

Extreme Low-Visibility Events Prediction Based on Inductive and Evolutionary Decision Rules: An Explicability-Based Approach

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Year:

2023

Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques

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Year:

2023

Cross-entropy boosted CRO-SL for optimal power flow in smart grids

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Year:

2023

Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms

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Year:

2023

New Probabilistic, Dynamic Multi-Method Ensembles for Optimization Based on the CRO-SL

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Year:

2023

The Economic Impact Associated with the Direct Connection Strength of Micropiles in Foundation Retrofit Projects

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Year:

2023

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

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Year:

2023

Collaborators (10)

Víctor Manuel Vargas Yun

Substitute Lecturer

Universidad de Córdoba

SPAIN

Elizabeth Wanner

Aston University

UNITED KINGDOM

Pedro Antonio Gutiérrez

Associate Professor

Universidad de Córdoba

SPAIN

Sancho Salcedo-Sanz

University of Southern Queensland

AUSTRALIA

MARIA JULIA SANZ

Profesor Titular de Universidad

Universidad de Valladolid

SPAIN

Ravinesh Deo

Professor

University of Southern Queensland

AUSTRALIA

Javier Del Ser

Research Professor

Fundación Tecnalia Research & Innovation

SPAIN

Alvaro Magdaleno

Assistant Professor

Universidad de Valladolid

SPAIN

Antonio Manuel Gómez-Orellana

Universidad de Córdoba

SPAIN

César Peláez-Rodríguez

FPI - Researcher/Professor training programme

Universidad Carlos III de Madrid Escuela Politécnica Superior

SPAIN

Jorge Pérez-Aracil

Research Interests

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Contact this professor

Articles (20)

A probabilistic alert system for extreme wind events prediction using quantile regression ensembles

Enhancing wind speed prediction in wind farms through ordinal classification

Artificial Intelligence-Based Methods and Algorithms in Fog and Atmospheric Low-Visibility Forecasting

Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning

Accurate calibration of hydrological models with evolutionary computation multi-method ensembles

Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection

Efficient design of electromagnetic field exposure maps with multi-method evolutionary ensembles

Spatio-temporal analysis of droughts in the Iberian Peninsula using complex Climate Networks over precipitation data

Go-around occurrence prediction with rule-induction, rule evolution and Machine Learning algorithms

TensorCRO: A TensorFlow‐based implementation of a multi‐method ensemble for optimization

Machine Learning Classification–Regression Schemes for Desert Locust Presence Prediction in Western Africa

A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction

Evolutionary Computation-Based Active Mass Damper Implementation for Vibration Mitigation in Slender Structures Using a Low-Cost Processor

Extreme Low-Visibility Events Prediction Based on Inductive and Evolutionary Decision Rules: An Explicability-Based Approach

Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques

Cross-entropy boosted CRO-SL for optimal power flow in smart grids

Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms

New Probabilistic, Dynamic Multi-Method Ensembles for Optimization Based on the CRO-SL

The Economic Impact Associated with the Direct Connection Strength of Micropiles in Foundation Retrofit Projects

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

Collaborators (10)

Víctor Manuel Vargas Yun

Elizabeth Wanner

Pedro Antonio Gutiérrez

Sancho Salcedo-Sanz

MARIA JULIA SANZ

Ravinesh Deo

Javier Del Ser

Alvaro Magdaleno

Antonio Manuel Gómez-Orellana

César Peláez-Rodríguez

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