Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach

Detalhes bibliográficos
Autor(a) principal: Ramos, Daniel
Data de Publicação: 2020
Outros Autores: Teixeira, Brigida, Faria, Pedro, Gomes, Luis, Abrishambaf, Omid, Vale, Zita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/17286
Resumo: This article belongs to the Special Issue Sensors for Smart Grids
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spelling Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage ApproachDemand responseBuilding energy managementSCADAUser ComfortLoad shiftingThis article belongs to the Special Issue Sensors for Smart GridsThe increase in sensors in buildings and home automation bring potential information to improve buildings' energy management. One promissory field is load forecasting, where the inclusion of other sensors' data in addition to load consumption may improve the forecasting results. However, an adequate selection of sensor parameters to use as input to the load forecasting should be done. In this paper, a methodology is proposed that includes a two-stage approach to improve the use of sensor data for a specific building. As an innovation, in the first stage, the relevant sensor data is selected for each specific building, while in the second stage, the load forecast is updated according to the actual forecast error. When a certain error is reached, the forecasting algorithm (Artificial Neural Network or K-Nearest Neighbors) is trained with the most recent data instead of training the algorithm every time. Data collection is provided by a prototype of agent-based sensors developed by the authors in order to support the proposed methodology. In this case study, data over a period of six months with five-minute time intervals regarding eight types of sensors are used. These data have been adapted from an office building to illustrate the advantages of the proposed methodology.This work has received funding from Portugal 2020 under SPEAR project (NORTE-01-0247-FEDER-040224), in the scope of ITEA 3 SPEAR Project 16001 and from FEDER Funds through COMPETE program and from National Funds through (FCT) under the project UIDB/00760/2020, and CEECIND/02887/2017MDPIRepositório Científico do Instituto Politécnico do PortoRamos, DanielTeixeira, BrigidaFaria, PedroGomes, LuisAbrishambaf, OmidVale, Zita2021-03-04T18:12:58Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/17286eng1424-822010.3390/s20123524info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:06:39Zoai:recipp.ipp.pt:10400.22/17286Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:36:48.782040Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach
title Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach
spellingShingle Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach
Ramos, Daniel
Demand response
Building energy management
SCADA
User Comfort
Load shifting
title_short Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach
title_full Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach
title_fullStr Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach
title_full_unstemmed Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach
title_sort Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach
author Ramos, Daniel
author_facet Ramos, Daniel
Teixeira, Brigida
Faria, Pedro
Gomes, Luis
Abrishambaf, Omid
Vale, Zita
author_role author
author2 Teixeira, Brigida
Faria, Pedro
Gomes, Luis
Abrishambaf, Omid
Vale, Zita
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Ramos, Daniel
Teixeira, Brigida
Faria, Pedro
Gomes, Luis
Abrishambaf, Omid
Vale, Zita
dc.subject.por.fl_str_mv Demand response
Building energy management
SCADA
User Comfort
Load shifting
topic Demand response
Building energy management
SCADA
User Comfort
Load shifting
description This article belongs to the Special Issue Sensors for Smart Grids
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-03-04T18:12:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/17286
url http://hdl.handle.net/10400.22/17286
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1424-8220
10.3390/s20123524
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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