Laura Cornejo-Bueno
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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
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
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
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
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
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
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
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
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
Combining reservoir computing and over-sampling for ordinal wind power ramp prediction
M Dorado-Moreno, L Cornejo-Bueno, PA Gutiérrez, L Prieto, ...
International Work-Conference on Artificial Neural Networks, 708-719, 2017
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
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 event detection with a hybrid neuro-evolutionary approach
L Cornejo-Bueno, C Camacho-Gómez, A Aybar-Ruíz, L Prieto, ...
Neural Computing and Applications 32 (2), 391-402, 2020
Optimal placement of distributed generation in micro-grids with binary and integer-encoding evolutionary algorithms
C Camacho-Gómez, R Mallol-Poyato, S Jiménez-Fernández, ...
2016 IEEE Congress on Evolutionary Computation (CEC), 3630-3637, 2016
A hybrid neuro-evolutionary algorithm for wind power ramp events detection
L Cornejo-Bueno, A Aybar-Ruiz, C Camacho-Gómez, L Prieto, ...
International Work-Conference on Artificial Neural Networks, 745-756, 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, ...
arXiv preprint arXiv:2103.14624, 2021
New hybrid neuro-evolutionary algorithms for renewable energy and facilities management problems
L Cornejo-Bueno
arXiv preprint arXiv:1806.02654, 2018
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