Laura Cornejo-Bueno
Laura Cornejo-Bueno
Assistant Professor, University of Alcalá
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Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
ZM Yaseen, RC Deo, A Hilal, AM Abd, LC Bueno, S Salcedo-Sanz, ...
Advances in Engineering Software 115, 112-125, 2018
Feature selection in machine learning prediction systems for renewable energy applications
S Salcedo-Sanz, L Cornejo-Bueno, L Prieto, D Paredes, R García-Herrera
Renewable and Sustainable Energy Reviews 90, 728-741, 2018
A novel grouping genetic algorithm–extreme learning machine approach for global solar radiation prediction from numerical weather models inputs
A Aybar-Ruiz, S Jiménez-Fernández, L Cornejo-Bueno, ...
Solar Energy 132, 129-142, 2016
Machine learning regressors for solar radiation estimation from satellite data
L Cornejo-Bueno, C Casanova-Mateo, J Sanz-Justo, S Salcedo-Sanz
Solar Energy 183, 768-775, 2019
Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm–Extreme Learning Machine approach
L Cornejo-Bueno, JC Nieto-Borge, P García-Díaz, G Rodríguez, ...
Renewable Energy 97, 380-389, 2016
An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
S Salcedo-Sanz, RC Deo, L Cornejo-Bueno, C Camacho-Gómez, ...
Applied Energy 209, 79-94, 2018
Bayesian optimization of a hybrid system for robust ocean wave features prediction
L Cornejo-Bueno, EC Garrido-Merchán, D Hernández-Lobato, ...
Neurocomputing 275, 818-828, 2018
Accurate estimation of significant wave height with support vector regression algorithms and marine radar images
L Cornejo-Bueno, JCN Borge, E Alexandre, K Hessner, S Salcedo-Sanz
Coastal Engineering 114, 233-243, 2016
Efficient prediction of low-visibility events at airports using machine-learning regression
L Cornejo-Bueno, C Casanova-Mateo, J Sanz-Justo, E Cerro-Prada, ...
Boundary-layer meteorology 165 (2), 349-370, 2017
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
J Del Ser, D Casillas-Perez, L Cornejo-Bueno, L Prieto-Godino, ...
Applied Soft Computing 118, 108526, 2022
Robust estimation of wind power ramp events with reservoir computing
M Dorado-Moreno, L Cornejo-Bueno, PA Gutiérrez, L Prieto, ...
Renewable Energy 111, 428-437, 2017
Persistence analysis and prediction of low-visibility events at Valladolid Airport, Spain
S Cornejo-Bueno, D Casillas-Pérez, L Cornejo-Bueno, MI Chidean, ...
Symmetry 12 (6), 1045, 2020
Wind power ramp events prediction with hybrid machine learning regression techniques and reanalysis data
L Cornejo-Bueno, L Cuadra, S Jiménez-Fernández, ...
Energies 10 (11), 1784, 2017
Significant wave height and energy flux estimation with a Genetic Fuzzy System for regression
L Cornejo-Bueno, P Rodríguez-Mier, M Mucientes, JC Nieto-Borge, ...
Ocean Engineering 160, 33-44, 2018
Statistical analysis and machine learning prediction of fog-caused low-visibility events at A-8 motor-road in Spain
S Cornejo-Bueno, D Casillas-Pérez, L Cornejo-Bueno, MI Chidean, ...
Atmosphere 12 (6), 679, 2021
Wind power ramp event detection with a hybrid neuro-evolutionary approach
L Cornejo-Bueno, C Camacho-Gómez, A Aybar-Ruíz, L Prieto, ...
Neural Computing and Applications 32, 391-402, 2020
A grouping genetic algorithm—Extreme learning machine approach for optimal wave energy prediction
L Cornejo-Bueno, A Aybar-Ruíz, S Jiménez-Fernández, E Alexandre, ...
2016 IEEE Congress on Evolutionary Computation (CEC), 3817-3823, 2016
Combining reservoir computing and over-sampling for ordinal wind power ramp prediction
M Dorado-Moreno, L Cornejo-Bueno, PA Gutiérrez, L Prieto, ...
Advances in Computational Intelligence: 14th International Work-Conference …, 2017
Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing
M Dorado-Moreno, PA Gutiérrez, L Cornejo-Bueno, L Prieto, ...
Neural Processing Letters 52, 57-74, 2020
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
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