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Particle swarm grammatical evolution for energy demand estimation

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Particle swarm grammatical evolution for energy demand estimation

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Martínez-Rodríguez, D.; Colmenar, JM.; Hidalgo, JI.; Villanueva Micó, RJ.; Salcedo-Sanz, S. (2020). Particle swarm grammatical evolution for energy demand estimation. Energy Science & Engineering. 8(4):1068-1079. https://doi.org/10.1002/ese3.568

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/161045

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Title: Particle swarm grammatical evolution for energy demand estimation
Author: Martínez-Rodríguez, David Colmenar, J. Manuel Hidalgo, J. Ignacio Villanueva Micó, Rafael Jacinto Salcedo-Sanz, Sancho
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Issued date:
Abstract:
[EN] Grammatical Swarm is a search and optimization algorithm that belongs to the more general Grammatical Evolution family, which works with a set of solutions called individuals or particles. It uses the Particle Swarm ...[+]
Subjects: Energy prediction models , Grammatical swarm evolution , Macroeconomic variables , Total energy demand
Copyrigths: Reconocimiento (by)
Source:
Energy Science & Engineering. (eissn: 2050-0505 )
DOI: 10.1002/ese3.568
Publisher:
John Wiley & Sons Ltd
Publisher version: https://doi.org/10.1002/ese3.568
Project ID:
MINECO/RTI2018-095180-B-I00
...[+]
MINECO/RTI2018-095180-B-I00
CAM/Y2018/NMT-4668
CAM/S2017/BMD-3773
MCYT/TIN2017-85887-C2-2-P
MICINN/PGC2018-095322-B-C22
CAM/S2018/TCS-4566
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89664-P/ES/PROBLEMAS DINAMICOS CON INCERTIDUMBRE SIMULABLE: MODELIZACION MATEMATICA, ANALISIS, COMPUTACION Y APLICACIONES/
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Thanks:
Spanish Ministerial Commission of Science and Technology (MICYT), Grant/Award Number: TIN2017-85887-C2-2-P; Ministerio de Ciencia, Innovacion y Universidades, Grant/Award Number: PGC2018-095322-B-C22 and RTI2018-095180-B-I00; ...[+]
Type: Artículo

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