Recent Advances in Energy Time Series Forecasting

This editorial summarizes the performance of the special issue entitled Energy Time Series Forecasting, which was published in MDPI’s Energies journal. The special issue took place in 2016 and accepted a total of 21 papers from twelve different countries. Electrical, solar, or wind energy forecastin...

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Detalles Bibliográficos
Autores: Martínez Álvarez, Francisco, Troncoso Lora, Alicia, Riquelme Santos, José Cristóbal
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/64183
Acceso en línea:http://hdl.handle.net/11441/64183
https://doi.org/10.3390/en10060809
Access Level:acceso abierto
Palabra clave:Energy
Time series
Forecasting
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spelling Recent Advances in Energy Time Series ForecastingMartínez Álvarez, FranciscoTroncoso Lora, AliciaRiquelme Santos, José CristóbalEnergyTime seriesForecastingThis editorial summarizes the performance of the special issue entitled Energy Time Series Forecasting, which was published in MDPI’s Energies journal. The special issue took place in 2016 and accepted a total of 21 papers from twelve different countries. Electrical, solar, or wind energy forecasting were the most analyzed topics, introducing brand new methods with very sound results.Ministerio de Economía y Competitividad TIN2014-55894-C2-RMDPILenguajes y Sistemas InformáticosMinisterio de Economía y Competitividad (MINECO). España2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/64183https://doi.org/10.3390/en10060809reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergies, 10 (6)info:eu-repo/grantAgreement/MINECO/TIN2014-55894-C2-R/http://www.mdpi.com/1996-1073/10/6/809info:eu-repo/semantics/openAccessoai:idus.us.es:11441/641832026-06-17T12:51:07Z
dc.title.none.fl_str_mv Recent Advances in Energy Time Series Forecasting
title Recent Advances in Energy Time Series Forecasting
spellingShingle Recent Advances in Energy Time Series Forecasting
Martínez Álvarez, Francisco
Energy
Time series
Forecasting
title_short Recent Advances in Energy Time Series Forecasting
title_full Recent Advances in Energy Time Series Forecasting
title_fullStr Recent Advances in Energy Time Series Forecasting
title_full_unstemmed Recent Advances in Energy Time Series Forecasting
title_sort Recent Advances in Energy Time Series Forecasting
dc.creator.none.fl_str_mv Martínez Álvarez, Francisco
Troncoso Lora, Alicia
Riquelme Santos, José Cristóbal
author Martínez Álvarez, Francisco
author_facet Martínez Álvarez, Francisco
Troncoso Lora, Alicia
Riquelme Santos, José Cristóbal
author_role author
author2 Troncoso Lora, Alicia
Riquelme Santos, José Cristóbal
author2_role author
author
dc.contributor.none.fl_str_mv Lenguajes y Sistemas Informáticos
Ministerio de Economía y Competitividad (MINECO). España
dc.subject.none.fl_str_mv Energy
Time series
Forecasting
topic Energy
Time series
Forecasting
description This editorial summarizes the performance of the special issue entitled Energy Time Series Forecasting, which was published in MDPI’s Energies journal. The special issue took place in 2016 and accepted a total of 21 papers from twelve different countries. Electrical, solar, or wind energy forecasting were the most analyzed topics, introducing brand new methods with very sound results.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/64183
https://doi.org/10.3390/en10060809
url http://hdl.handle.net/11441/64183
https://doi.org/10.3390/en10060809
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energies, 10 (6)
info:eu-repo/grantAgreement/MINECO/TIN2014-55894-C2-R/
http://www.mdpi.com/1996-1073/10/6/809
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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