Cornejo Bueno, Laura María

Publications

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

  • Del Ser, J.
  • Casillas-Perez, D.
  • Cornejo-Bueno, L.
  • Prieto-Godino, L.
  • Sanz-Justo, J.
  • Casanova-Mateo, C.
  • Salcedo-Sanz, S.
... View more Collapse

APPLIED SOFT COMPUTING - 1/3/2022

Editor: Elsevier Ltd

10.1016/j.asoc.2022.108526 View at source

  • ISSN 15684946
  • ISSN/ISBN 1568-4946

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 View at source

  • 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 View at source

  • ISSN/ISBN 0029-8018

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 View at source

  • ISSN/ISBN 1879-0682

Statistical Analysis and Machine Learning Prediction of Fog-Caused Low-Visibility Events at A-8 Motor-Road in Spain

  • Cornejo-Bueno, S.
  • Casillas-Pérez, D.
  • Cornejo-Bueno, L.
  • Chidean, M.I.
  • Caamaño, A.J.
  • Cerro-Prada, E.
  • Casanova-Mateo, C.
  • Salcedo-Sanz, S.
... View more Collapse

Atmosphere - 1/6/2021

Editor: MDPI AG

10.3390/atmos12060679 View at source

  • ISSN 20734433
  • ISSN/ISBN 2073-4433

Techno-economic evaluation of the production of polyesters from glycerol and adipic acid

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

Chemical Engineering Research and Design (p. 432-440) - 2015

Editor: Institution of Chemical Engineers

10.1016/j.cherd.2014.05.010 View at source

  • ISSN/ISBN 0263-8762

Wind Power Ramp Events prediction with hybrid machine learning regression techniques and reanalysis data

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

Energies - 2017

Editor: MDPI AG

10.3390/en10111784 View at source

  • ISSN/ISBN 1996-1073

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 View at source

  • ISSN/ISBN 1433-3058

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