Nested evolutionary algorithms for joint structure design and operation of micro-grids under variable electricity prices scenarios. - R. Mallol-Poyato; Silvia Jiménez-Fernández; Laura Cornejo-Bueno; P. Díaz-Villar; Sancho Salcedo-Sanz (INISTA, 2015)

Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model. - Pedro Antonio Gutiérrez; Juan Carlos Fernández 001; María Pérez-Ortiz 001; Laura Cornejo-Bueno; Enrique Alexandre-Cortizo; Sancho Salcedo-Sanz; César Hervás-Martínez (IWANN (2), 2015)

Feature Selection with a Grouping Genetic Algorithm - Extreme Learning Machine Approach for Wind Power Prediction. - Laura Cornejo-Bueno; Carlos Camacho-Gómez; Adrián Aybar-Ruíz; Luis Prieto; Sancho Salcedo-Sanz (CAEPIA, 2016)

Optimal placement of distributed generation in micro-grids with binary and integer-encoding evolutionary algorithms. - Carlos Camacho-Gómez; R. Mallol-Poyato; Silvia Jiménez-Fernández; Laura Cornejo-Bueno; Sancho Salcedo-Sanz (CEC, 2016)

A grouping genetic algorithm - Extreme learning machine approach for optimal wave energy prediction. - Laura Cornejo-Bueno; Adrián Aybar-Ruíz; Silvia Jiménez-Fernández; Enrique Alexandre; Jose Carlos Nieto-Borge; Sancho Salcedo-Sanz (CEC, 2016)

A Hybrid Neuro-Evolutionary Algorithm for Wind Power Ramp Events Detection. - Laura Cornejo-Bueno; Adrián Aybar-Ruíz; Carlos Camacho-Gómez; Luis Prieto; Alberto Barea-Ropero; Sancho Salcedo-Sanz (IWANN (1), 2017)

Bayesian Optimization of a Hybrid Prediction System for Optimal Wave Energy Estimation Problems. - Laura Cornejo-Bueno; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato; Sancho Salcedo-Sanz (IWANN (1), 2017)

Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction. - Manuel Dorado-Moreno; Laura Cornejo-Bueno; Pedro Antonio Gutiérrez; Luis Prieto; Sancho Salcedo-Sanz; César Hervás-Martínez (IWANN (1), 2017)

A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms. - Laura Cornejo-Bueno; J. Acevedo-Rodríguez; Luis Prieto; Sancho Salcedo-Sanz (IDC, 2018)

Merging ELMs with Satellite Data and Clear-Sky Models for Effective Solar Radiation Estimation. - Laura Cornejo-Bueno; Carlos Casanova-Mateo; Julia Sanz-Justo; Sancho Salcedo-Sanz (IDEAL (2), 2018)

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model. - Zaher Mundher Yaseen; Ravinesh C. Deo; Ameer A. Hilal; Abbas M. Abd; Laura Cornejo-Bueno; Sancho Salcedo-Sanz; Moncef L. Nehdi (Adv. Eng. Softw., 2018)

New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems. - Laura Cornejo-Bueno (CoRR, 2018)

Bayesian optimization of a hybrid system for robust ocean wave features prediction. - Laura Cornejo-Bueno; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato; Sancho Salcedo-Sanz (Neurocomputing, 2018)

Wind power ramp event detection with a hybrid neuro-evolutionary approach. - Laura Cornejo-Bueno; Carlos Camacho-Gómez; Adrián Aybar-Ruíz; Luis Prieto; Alberto Barea-Ropero; Sancho Salcedo-Sanz (Neural Comput. Appl., 2020)

Correction to: Wind power ramp event detection with a hybrid neuro-evolutionary approach. - Laura Cornejo-Bueno; Carlos Camacho-Gómez; Adrián Aybar-Ruíz; Luis Prieto; Alberto Barea-Ropero; Sancho Salcedo-Sanz (Neural Comput. Appl., 2020)

Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing. - Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; Laura Cornejo-Bueno; Luis Prieto; Sancho Salcedo-Sanz; César Hervás-Martínez (Neural Process. Lett., 2020)

Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain. - Sara Cornejo-Bueno; David Casillas-Pérez; Laura Cornejo-Bueno; Mihaela I. Chidean; Antonio J. Caamaño; Julia Sanz-Justo; Carlos Casanova-Mateo; Sancho Salcedo-Sanz (Symmetry, 2020)

Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives. - Javier Del Ser; David Casillas-Perez; Laura Cornejo-Bueno; Luis Prieto-Godino; Julia Sanz-Justo; Carlos Casanova-Mateo; Sancho Salcedo-Sanz (Appl. Soft Comput., 2022)

Autoencoder Framework for General Forecasting. - Dusan Fister; César Peláez-Rodríguez; Laura Cornejo-Bueno; Jorge Pérez-Aracil; Sancho Salcedo-Sanz (IWINAC (2), 2024)

Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model. - César Peláez-Rodríguez; Laura Cornejo-Bueno; Dusan Fister; Jorge Pérez-Aracil; Sancho Salcedo-Sanz (IWINAC (2), 2024)

Data Augmentation Techniques for Extreme Wind Prediction Improvement. - Marta Vega-Bayo; Antonio Manuel Gómez-Orellana; Víctor Manuel Vargas Yun; David Guijo-Rubio; Laura Cornejo-Bueno; Jorge Pérez-Aracil; Sancho Salcedo-Sanz (IWINAC (2), 2024)