Cornejo Bueno, Laura María

Publications

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

  • Cornejo-Bueno, L.
  • Aybar-Ruiz, A.
  • Camacho-Gómez, C.
  • Prieto, L.
  • Barea-Ropero, A.
  • Salcedo-Sanz, S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 745-756) - 2017

Editor: Springer Verlag

10.1007/978-3-319-59153-7_64 View at source

  • ISSN/ISBN 1611-3349

A novel Grouping Genetic Algorithm-Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs

  • Aybar-Ruiz, A.
  • Jiménez-Fernández, S.
  • Cornejo-Bueno, L.
  • Casanova-Mateo, C.
  • Sanz-Justo, J.
  • Salvador-González, P.
  • Salcedo-Sanz, S.
... View more Collapse

Solar Energy (p. 129-142) - 2016

Editor: Elsevier Ltd

10.1016/j.solener.2016.03.015 View at source

  • ISSN/ISBN 0038-092X

Accurate estimation of significant wave height with Support Vector Regression algorithms and marine radar images

  • Cornejo-Bueno, L.
  • Nieto Borge, J.C.
  • Alexandre, E.
  • Hessner, K.
  • Salcedo-Sanz, S.

Coastal Engineering (p. 233-243) - 2016

Editor: Elsevier B.V.

10.1016/j.coastaleng.2016.04.007 View at source

  • ISSN/ISBN 0378-3839

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

  • Salcedo-Sanz, S.
  • Deo, R.C.
  • Cornejo-Bueno, L.
  • Camacho-Gómez, C.
  • Ghimire, S.

Applied Energy (p. 79-94) - 2018

Editor: Elsevier Ltd

10.1016/j.apenergy.2017.10.076 View at source

  • ISSN/ISBN 0306-2619

Analysis of Machine Learning Approaches' Performance in Prediction Problems with Human Activity Patterns

  • Torres-López, R.
  • Casillas-Pérez, D.
  • Pérez-Aracil, J.
  • Cornejo-Bueno, L.
  • Alexandre, E.
  • Salcedo-Sanz, S.

Mathematics - 1/7/2022

Editor: MDPI

10.3390/math10132187 View at source

  • ISSN 22277390
  • ISSN/ISBN 2227-7390

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

  • Cornejo-Bueno, L.
  • Garrido-Merchán, E.C.
  • Hernández-Lobato, D.
  • Salcedo-Sanz, S.

14th Conference on Artificial Intelligence in Medicine, AIME 2013 (p. 648-660) - 1/1/2017

Editor: Springer Verlag

10.1007/978-3-319-59153-7_56 View at source

  • ISSN 16113349
  • ISSN/ISBN 1611-3349

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

  • Cornejo-Bueno, L.
  • Garrido-Merchán, E.C.
  • Hernández-Lobato, D.
  • Salcedo-Sanz, S.

NEUROCOMPUTING (p. 818-828) - 31/1/2018

Editor: Elsevier B.V.

10.1016/j.neucom.2017.09.025 View at source

  • ISSN 09252312
  • ISSN/ISBN 1872-8286

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

  • Dorado-Moreno, M.
  • Cornejo-Bueno, L.
  • Gutiérrez, P.A.
  • Prieto, L.
  • Salcedo-Sanz, S.
  • Hervás-Martínez, C.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 708-719) - 2017

Editor: Springer Verlag

10.1007/978-3-319-59153-7_61 View at source

  • ISSN/ISBN 1611-3349

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)

  • Cornejo-Bueno, L.
  • Camacho-Gómez, C.
  • Aybar-Ruiz, A.
  • Prieto, L.
  • Barea-Ropero, A.
  • Salcedo-Sanz, S.

Neural Computing and Applications (p. 403) - 2020

Editor: Springer

10.1007/s00521-019-04122-y View at source

  • ISSN/ISBN 1433-3058

Efficient Prediction of Low-Visibility Events at Airports Using Machine-Learning Regression

  • Cornejo-Bueno, L.
  • Casanova-Mateo, C.
  • Sanz-Justo, J.
  • Cerro-Prada, E.
  • Salcedo-Sanz, S.

Boundary-Layer Meteorology (p. 349-370) - 2017

Editor: Springer Netherlands

10.1007/s10546-017-0276-8 View at source

  • ISSN/ISBN 1573-1472

This researcher has no books.

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

  • Cornejo-Bueno, L.
  • Acevedo-Rodríguez, J.
  • Prieto, L.
  • Salcedo-Sanz, S.

Studies in Computational Intelligence (p. 97-106) - 2018

Editor: Springer Verlag

10.1007/978-3-319-99626-4_9 View at source

  • ISSN/ISBN 1860-949X

Introduction to gPROMS® for chemical engineering

  • Amador, C.
  • Martín, M.
  • Bueno, L.

Introduction to Software for Chemical Engineers, Second Editionw (p. 373-459) - 2019

Editor: CRC Press

10.1201/9780429451010-10 View at source

  • ISSN/ISBN 9781138324220

Scale-up and Techno-economical Study for the Production of Polyesters from Glycerol

  • Bueno, L.
  • Toro, C.A.
  • Martín, M.

Computer Aided Chemical Engineering (p. 43-48) - 2014

Editor: Elsevier B.V.

10.1016/b978-0-444-63456-6.50008-9 View at source

  • ISSN/ISBN 1570-7946

A grouping genetic algorithm - Extreme learning machine approach for optimal wave energy prediction

  • Cornejo-Bueno, L.
  • Aybar-Ruiz, A.
  • Jimenez-Fernandez, S.
  • Alexandre, E.
  • Nieto-Borge, J.C.
  • Salcedo-Sanz, S.

2016 IEEE Congress on Evolutionary Computation, CEC 2016 (p. 3817-3823) - 2016

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/cec.2016.7744273 View at source

  • ISSN/ISBN 9781509006229

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

  • Laura María Cornejo Bueno
  • Carlos Casanova Mateo
  • María Julia Sanz Justo
  • Diego Gómez Aragón
  • P. Salvador
  • Sancho Salcedo Sanz
  • José Luis Casanova Roque
... View more Collapse

Teledetección: hacia una visión global del cambio climático (p. 229-232) - 2019

Editor: Ediciones Universidad de Valladolid (EdUVa)

  • ISSN/ISBN 978-84-1320-038-5

Energy flux range classification by using a dynamic window autoregressive model

  • Gutiérrez, P.A.
  • Fernández, J.C.
  • Pérez-Ortiz, M.
  • Cornejo-Bueno, L.
  • Alexandre-Cortizo, E.
  • Salcedo-Sanz, S.
  • Hervás-Martínez, C.
... View more Collapse

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 92-102) - 2015

Editor: Springer Verlag

10.1007/978-3-319-19222-2_8 View at source

  • ISSN/ISBN 1611-3349

Feature selection with a grouping genetic algorithm – Extreme learning machine approach for wind power prediction

  • Cornejo-Bueno, L.
  • Camacho-Gómez, C.
  • Aybar-Ruiz, A.
  • Prieto, L.
  • Salcedo-Sanz, S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 373-382) - 2016

Editor: Springer Verlag

10.1007/978-3-319-44636-3_35 View at source

  • ISSN/ISBN 1611-3349

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

  • Cornejo-Bueno, L.
  • Casanova-Mateo, C.
  • Sanz-Justo, J.
  • Salcedo-Sanz, S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 163-170) - 2018

Editor: Springer Verlag

10.1007/978-3-030-03496-2_19 View at source

  • ISSN/ISBN 1611-3349

Modelling the deposition of Fluorescent Whitening Agents (FWAs) on flat woven cotton fabrics

  • Bueno, L.
  • Amador, C.
  • Bakalis, S.

22nd International Congress of Chemical and Process Engineering, CHISA 2016 and 19th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2016 (p. 10-11) - 2016

Editor: Czech Society of Chemical Engineering

  • ISSN/ISBN 9781510859623

Modelling the deposition of actives on cotton fabrics during the washing process

  • Bueno, L.
  • Amador, C.
  • Bakalis, S.

Process Development Division 2016 - Core Programming Area at the 2016 AIChE Meeting (p. 129-131) - 2016

Editor: AIChE

  • ISSN/ISBN 9781510834460

Nested evolutionary algorithms for joint structure design and operation of micro-grids under variable electricity prices scenarios

  • Mallol-Poyato, R.
  • Jimenez-Fernandez, S.
  • Cornejo-Bueno, L.
  • Diaz-Villar, P.
  • Salcedo-Sanz, S.

INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings - 2015

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/inista.2015.7276735 View at source

  • ISSN/ISBN 9781467390965

Optimal placement of distributed generation in micro-grids with binary and integer-encoding evolutionary algorithms

  • Camacho-Gomez, C.
  • Mallol-Poyato, R.
  • Jimenez-Fernandez, S.
  • Cornejo-Bueno, L.
  • Salcedo-Sanz, S.

2016 IEEE Congress on Evolutionary Computation, CEC 2016 (p. 3630-3637) - 2016

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/cec.2016.7744249 View at source

  • ISSN/ISBN 9781509006229

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 4/24/24 1:21 PM