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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

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Título: Particle swarm grammatical evolution for energy demand estimation
Autor: Martínez-Rodríguez, David Colmenar, J. Manuel Hidalgo, J. Ignacio Villanueva Micó, Rafael Jacinto Salcedo-Sanz, Sancho
Entidad UPV: 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
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Energy prediction models , Grammatical swarm evolution , Macroeconomic variables , Total energy demand
Derechos de uso: Reconocimiento (by)
Fuente:
Energy Science & Engineering. (eissn: 2050-0505 )
DOI: 10.1002/ese3.568
Editorial:
John Wiley & Sons Ltd
Versión del editor: https://doi.org/10.1002/ese3.568
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095180-B-I00/ES/SISTEMA ADAPTATIVO BIOINSPIRADO PARA EL CONTROL GLUCEMICO BASADO EN SENSORES Y ACCESORIOS INTELIGENTES/
...[+]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095180-B-I00/ES/SISTEMA ADAPTATIVO BIOINSPIRADO PARA EL CONTROL GLUCEMICO BASADO EN SENSORES Y ACCESORIOS INTELIGENTES/
info:eu-repo/grantAgreement/CAM//Y2018%2FNMT- 4668/
info:eu-repo/grantAgreement/CAM//S2017%2FBMD-3773/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-85887-C2-2-P/ES/NUEVOS ALGORITMOS HIBRIDOS DE INSPIRACION NATURAL PARA PROBLEMAS DE CLASIFICACION ORDINAL Y PREDICCION/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-095322-B-C22/ES/METAHEURISTICAS EFICIENTES PARA LA OPTIMIZACION EN GRAFOS/
info:eu-repo/grantAgreement/CAM//S2018%2FTCS-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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Agradecimientos:
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; ...[+]
Tipo: Artículo

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