Forecasting energy time-series data using a fuzzy ARTMAP neural network

Detalhes bibliográficos
Autor(a) principal: De Assis Pedrobon Ferreira, Willian [UNESP]
Data de Publicação: 2020
Outros Autores: Grout, Ian, Da Silva, Alexandre Cesar Rodrigues [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ICPEI49860.2020.9431435
http://hdl.handle.net/11449/221765
Resumo: Time-series forecasting is an important field of machine learning and is fundamental in analyzing trends based on historical data from various sources. In this paper, a fuzzy ARTMAP neural network for time-series forecasting is presented. To validate the proposed system, two energy-related datasets from Great Britain were selected. With a promising processing time and accuracy as good as a traditional machine learning algorithm, the fuzzy ARTMAP neural network has shown that can be a good option to perform forecasting considering different time-based data issues.
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spelling Forecasting energy time-series data using a fuzzy ARTMAP neural networkenergy datafuzzy ARTMAP neural networktime-series forecastingTime-series forecasting is an important field of machine learning and is fundamental in analyzing trends based on historical data from various sources. In this paper, a fuzzy ARTMAP neural network for time-series forecasting is presented. To validate the proposed system, two energy-related datasets from Great Britain were selected. With a promising processing time and accuracy as good as a traditional machine learning algorithm, the fuzzy ARTMAP neural network has shown that can be a good option to perform forecasting considering different time-based data issues.Universidade Estadual Paulista Faculdade de EngenhariaUniversity of Limerick Department of Electronic and Computer EngineeringUniversidade Estadual Paulista Faculdade de EngenhariaUniversidade Estadual Paulista (UNESP)University of LimerickDe Assis Pedrobon Ferreira, Willian [UNESP]Grout, IanDa Silva, Alexandre Cesar Rodrigues [UNESP]2022-04-28T19:40:18Z2022-04-28T19:40:18Z2020-10-14info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1-4http://dx.doi.org/10.1109/ICPEI49860.2020.9431435Proceedings of the 2020 International Conference on Power, Energy and Innovations, ICPEI 2020, p. 1-4.http://hdl.handle.net/11449/22176510.1109/ICPEI49860.2020.94314352-s2.0-85107270887Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the 2020 International Conference on Power, Energy and Innovations, ICPEI 2020info:eu-repo/semantics/openAccess2022-04-28T19:40:18Zoai:repositorio.unesp.br:11449/221765Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:40:18Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Forecasting energy time-series data using a fuzzy ARTMAP neural network
title Forecasting energy time-series data using a fuzzy ARTMAP neural network
spellingShingle Forecasting energy time-series data using a fuzzy ARTMAP neural network
De Assis Pedrobon Ferreira, Willian [UNESP]
energy data
fuzzy ARTMAP neural network
time-series forecasting
title_short Forecasting energy time-series data using a fuzzy ARTMAP neural network
title_full Forecasting energy time-series data using a fuzzy ARTMAP neural network
title_fullStr Forecasting energy time-series data using a fuzzy ARTMAP neural network
title_full_unstemmed Forecasting energy time-series data using a fuzzy ARTMAP neural network
title_sort Forecasting energy time-series data using a fuzzy ARTMAP neural network
author De Assis Pedrobon Ferreira, Willian [UNESP]
author_facet De Assis Pedrobon Ferreira, Willian [UNESP]
Grout, Ian
Da Silva, Alexandre Cesar Rodrigues [UNESP]
author_role author
author2 Grout, Ian
Da Silva, Alexandre Cesar Rodrigues [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
University of Limerick
dc.contributor.author.fl_str_mv De Assis Pedrobon Ferreira, Willian [UNESP]
Grout, Ian
Da Silva, Alexandre Cesar Rodrigues [UNESP]
dc.subject.por.fl_str_mv energy data
fuzzy ARTMAP neural network
time-series forecasting
topic energy data
fuzzy ARTMAP neural network
time-series forecasting
description Time-series forecasting is an important field of machine learning and is fundamental in analyzing trends based on historical data from various sources. In this paper, a fuzzy ARTMAP neural network for time-series forecasting is presented. To validate the proposed system, two energy-related datasets from Great Britain were selected. With a promising processing time and accuracy as good as a traditional machine learning algorithm, the fuzzy ARTMAP neural network has shown that can be a good option to perform forecasting considering different time-based data issues.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-14
2022-04-28T19:40:18Z
2022-04-28T19:40:18Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ICPEI49860.2020.9431435
Proceedings of the 2020 International Conference on Power, Energy and Innovations, ICPEI 2020, p. 1-4.
http://hdl.handle.net/11449/221765
10.1109/ICPEI49860.2020.9431435
2-s2.0-85107270887
url http://dx.doi.org/10.1109/ICPEI49860.2020.9431435
http://hdl.handle.net/11449/221765
identifier_str_mv Proceedings of the 2020 International Conference on Power, Energy and Innovations, ICPEI 2020, p. 1-4.
10.1109/ICPEI49860.2020.9431435
2-s2.0-85107270887
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the 2020 International Conference on Power, Energy and Innovations, ICPEI 2020
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-4
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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