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Cornejo Bueno, Laura María

Teoría de la Señal y Comunicaciones / Universidad de Alcalá

Actividades

Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain

  • Cornejo-Bueno, S.
  • Casillas-Pérez, D.
  • Cornejo-Bueno, L.
  • Chidean, M.I.
  • Caamaño, A.J.
  • Sanz-Justo, J.
  • Casanova-Mateo, C.
  • Salcedo-Sanz, S.
... Ver más Contraer

Symmetry-Basel (p. 1-18) - 1/6/2020

Editor: MDPI AG

10.3390/sym12061045 Ver en origen

  • ISSN 20738994
  • ISSN/ISBN 2073-8994

Machine learning regressors for solar radiation estimation from satellite data

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

Solar Energy (p. 768-775) - 2019

Editor: Elsevier Ltd

10.1016/j.solener.2019.03.079 Ver en origen

  • ISSN/ISBN 0038-092X

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.
... Ver más Contraer

Solar Energy (p. 129-142) - 2016

Editor: Elsevier Ltd

10.1016/j.solener.2016.03.015 Ver en origen

  • ISSN/ISBN 0038-092X

Feature selection in machine learning prediction systems for renewable energy applications

  • Salcedo-Sanz, S.
  • Cornejo-Bueno, L.
  • Prieto, L.
  • Paredes, D.
  • García-Herrera, R.

Renewable and Sustainable Energy Reviews (p. 728-741) - 2018

Editor: Elsevier Ltd

10.1016/j.rser.2018.04.008 Ver en origen

  • ISSN/ISBN 1879-0690

Robust estimation of wind power ramp events with reservoir computing

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

Renewable Energy (p. 428-437) - 2017

Editor: Elsevier Ltd

10.1016/j.renene.2017.04.016 Ver en origen

  • ISSN/ISBN 1879-0682

Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm - Extreme Learning Machine approach

  • Cornejo-Bueno, L.
  • Nieto-Borge, J.C.
  • García-Díaz, P.
  • Rodríguez, G.
  • Salcedo-Sanz, S.

Renewable Energy (p. 380-389) - 2016

Editor: Elsevier Ltd

10.1016/j.renene.2016.05.094 Ver en origen

  • ISSN/ISBN 1879-0682

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

  • Cornejo-Bueno, L.
  • Rodríguez-Mier, P.
  • Mucientes, M.
  • Nieto-Borge, J.C.
  • Salcedo-Sanz, S.

Ocean Engineering (p. 33-44) - 2018

Editor: Elsevier Ltd

10.1016/j.oceaneng.2018.04.063 Ver en origen

  • ISSN/ISBN 0029-8018

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

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

Neural Processing Letters (p. 57-74) - 2020

Editor: Springer

10.1007/s11063-018-9922-5 Ver en origen

  • ISSN/ISBN 1573-773X

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

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

Neural Computing and Applications (p. 391-402) - 2020

Editor: Springer

10.1007/s00521-018-3707-7 Ver en origen

  • ISSN/ISBN 1433-3058

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 Ver en origen

  • ISSN/ISBN 1433-3058

Este/a investigador/a no tiene libros.

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 Ver en origen

  • 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 Ver en origen

  • 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 Ver en origen

  • ISSN/ISBN 1570-7946

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
... Ver más Contraer

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

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

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 Ver en origen

  • ISSN/ISBN 1611-3349

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.
... Ver más Contraer

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 Ver en origen

  • 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 Ver en origen

  • ISSN/ISBN 1611-3349

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 Ver en origen

  • ISSN/ISBN 9781467390965

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

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 Ver en origen

  • ISSN/ISBN 9781509006229

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 Ver en origen

  • ISSN/ISBN 9781509006229

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 24/04/24 13:21