Laura Cornejo-Bueno
Orcid: 0000-0002-4126-8041
According to our database1,
Laura Cornejo-Bueno
authored at least 18 papers
between 2015 and 2022.
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Bibliography
2022
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives.
Appl. Soft Comput., 2022
2020
Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain.
Symmetry, 2020
Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing.
Neural Process. Lett., 2020
Correction to: Wind power ramp event detection with a hybrid neuro-evolutionary approach.
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
2018
Neurocomputing, 2018
New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems.
CoRR, 2018
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model.
Adv. Eng. Softw., 2018
Merging ELMs with Satellite Data and Clear-Sky Models for Effective Solar Radiation Estimation.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms.
Proceedings of the Intelligent Distributed Computing XII, 2018
2017
Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction.
Proceedings of the Advances in Computational Intelligence, 2017
Bayesian Optimization of a Hybrid Prediction System for Optimal Wave Energy Estimation Problems.
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the Advances in Computational Intelligence, 2017
2016
A grouping genetic algorithm - Extreme learning machine approach for optimal wave energy prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Optimal placement of distributed generation in micro-grids with binary and integer-encoding evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Feature Selection with a Grouping Genetic Algorithm - Extreme Learning Machine Approach for Wind Power Prediction.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Proceedings of the Advances in Computational Intelligence, 2015
Nested evolutionary algorithms for joint structure design and operation of micro-grids under variable electricity prices scenarios.
Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015