Publicaciones (31) Publicaciones de Laura María Cornejo Bueno

2023

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

    Applied Sciences (Switzerland), Vol. 13, Núm. 14

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

    Mathematics, Vol. 11, Núm. 7

2022

  1. Analysis of Machine Learning Approaches’ Performance in Prediction Problems with Human Activity Patterns

    Mathematics, Vol. 10, Núm. 13

  2. Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives

    Applied Soft Computing, Vol. 118

2021

  1. Statistical analysis and machine learning prediction of fog-caused low-visibility events at a-8 motor-road in spain

    Atmosphere, Vol. 12, Núm. 6

2020

  1. Correction to: Wind power ramp event detection with a hybrid neuro-evolutionary approach (Neural Computing and Applications, (2020), 32, 2, (391-402), 10.1007/s00521-018-3707-7)

    Neural Computing and Applications

  2. Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing

    Neural Processing Letters, Vol. 52, Núm. 1, pp. 57-74

  3. Persistence analysis and prediction of low-visibility events at valladolid airport, Spain

    Symmetry, Vol. 12, Núm. 6, pp. 1-18

  4. Wind power ramp event detection with a hybrid neuro-evolutionary approach

    Neural Computing and Applications, Vol. 32, Núm. 2, pp. 391-402

2019

  1. Downscaling estadístico del servicio CAMS para la predicción de radiación solar global con datos Meteosat y técnicas de aprendizaje máquina

    Teledetección: hacia una visión global del cambio climático

  2. Machine learning regressors for solar radiation estimation from satellite data

    Solar Energy, Vol. 183, pp. 768-775

2018

  1. A hybrid ensemble of heterogeneous regressors for wind speed estimation in wind farms

    Studies in Computational Intelligence (Springer Verlag), pp. 97-106

  2. An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia

    Applied Energy, Vol. 209, pp. 79-94

  3. Bayesian optimization of a hybrid system for robust ocean wave features prediction

    Neurocomputing, Vol. 275, pp. 818-828

  4. Feature selection in machine learning prediction systems for renewable energy applications

    Renewable and Sustainable Energy Reviews, Vol. 90, pp. 728-741

  5. Merging ELMs with satellite data and clear-sky models for effective solar radiation estimation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Significant wave height and energy flux estimation with a Genetic Fuzzy System for regression

    Ocean Engineering, Vol. 160, pp. 33-44

2017

  1. A hybrid neuro-evolutionary algorithm for wind power ramp events detection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 745-756

  2. Bayesian Optimization of a hybrid prediction system for optimal wave energy estimation problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 648-660

  3. Combining reservoir computing and over-sampling for ordinal wind power ramp prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 708-719