RDF/XML JSON-LD N3/Turtle RDF/JSON

Cornejo Bueno, Laura María

Teoría de la Señal y Comunicaciones / Universidad de Alcalá

Publications

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 View at source

  • ISSN/ISBN 1879-0690

Integrated biodiesel facilities: review of glycerol-based production of fuels and chemicals

  • Almena, A.
  • Bueno, L.
  • Díez, M.
  • Martín, M.

Clean Technologies and Environmental Policy (p. 1639-1661) - 2018

Editor: Springer Verlag

10.1007/s10098-017-1424-z View at source

  • ISSN/ISBN 1618-9558

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

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

Applied Sciences (Switzerland) - 2023

Editor: Multidisciplinary Digital Publishing Institute (MDPI)

10.3390/app13148266 View at source

  • ISSN/ISBN 2076-3417

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 View at source

  • ISSN/ISBN 0038-092X

Modeling the deposition of fluorescent whitening agents on cotton fabrics

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

AIChE Journal (p. 1305-1316) - 2018

Editor: John Wiley and Sons Inc.

10.1002/aic.16001 View at source

  • ISSN/ISBN 1547-5905

Modelling the kinetics of stain removal from knitted cotton fabrics in a commercial Front Loader Washing Machine (FLWM)

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

Chemical Engineering Science (p. 176-185) - 2019

Editor: Elsevier Ltd

10.1016/j.ces.2019.02.008 View at source

  • ISSN/ISBN 0009-2509

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

  • Pérez-Aracil, J.
  • Camacho-Gómez, C.
  • Lorente-Ramos, E.
  • Marina, C.M.
  • Cornejo-Bueno, L.M.
  • Salcedo-Sanz, S.

Mathematics - 1/4/2023

Editor: MDPI

10.3390/math11071666 View at source

  • ISSN 22277390
  • ISSN/ISBN 2227-7390

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 View at source

  • ISSN/ISBN 1573-773X

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.
... View more Collapse

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

Editor: MDPI AG

10.3390/sym12061045 View at source

  • ISSN 20738994
  • ISSN/ISBN 2073-8994

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

  • Yaseen, Z.M.
  • Deo, R.C.
  • Hilal, A.
  • Abd, A.M.
  • Bueno, L.C.
  • Salcedo-Sanz, S.
  • Nehdi, M.L.
... View more Collapse

Advances in Engineering Software (p. 112-125) - 2018

Editor: Elsevier Ltd

10.1016/j.advengsoft.2017.09.004 View at source

  • ISSN/ISBN 1873-5339

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