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Development of surplus power generation forecast for use by residential loads

2023Conference paper Restricted access
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dc.contributor.authorDias, Paloma Greiciana de Souza
dc.contributor.authorBrito, Thadeu
dc.contributor.authorSilva, William Rodrigues
dc.contributor.authorPereira, Ana I.
dc.contributor.authorLopes, Luis C.G.
dc.contributor.authorSantos, Murillo F. dos
dc.contributor.authorCosta, Paulo Gomes da
dc.contributor.authorLima, José
dc.date.accessioned2024-01-09T10:00:56Z
dc.date.available2024-01-09T10:00:56Z
dc.date.issued2023
dc.description.abstractEnergy consumption has been increasing in the last years and thus, energy efficiency is one of the most important topics actually. Besides, the consumption and energy generation forecast help in efficiency optimization. This paper presents the development of a system for forecasting surplus power generation to be used by residential loads connected to smart plugs. In this way, it is intended to collaborate with the use of surplus energy production in electrical devices in a residence instead of sending to batteries or to the grid. This work presents the theoretical basis of the project and the architecture of the developed system. A Machine Learning method applied to photovoltaic generation data in a residence was used to predict surplus energy.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). Thadeu Brito is supported by FCT PhD Grant Reference SFRH/BD/08598/2020 and PhD Student in the Doctoral Program in Electrical and Computer Engineering (PDEEC) of the Faculty of Engineering, University of Porto (FEUP) supervised by Prof. Paulo Costa.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationDias, Paloma Greiciana de Souza; Brito, Thadeu; Silva, William R.; Pereira, Ana I.; Lopes, Luis C.G.; Santos, Murillo F. dos; Costa, Paulo Gomes da; Lima, José (2023). Development of surplus power generation forecast for use by residential loads. In 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 19-21 July 2023, Tenerife. p. 1-6. ISBN 979-8-3503-2297-2pt_PT
dc.identifier.doi10.1109/ICECCME57830.2023.10252919pt_PT
dc.identifier.isbn979-8-3503-2297-2
dc.identifier.urihttp://hdl.handle.net/10198/29137
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSurplus energypt_PT
dc.subjectData forecastingpt_PT
dc.subjectMachine learningpt_PT
dc.subjectInternet of thingspt_PT
dc.titleDevelopment of surplus power generation forecast for use by residential loadspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBrito
person.familyNamePereira
person.familyNameLima
person.givenNameThadeu
person.givenNameAna I.
person.givenNameJosé
person.identifierBjSISEAAAAAJ
person.identifierR-000-8GD
person.identifier.ciencia-idC911-A95D-712F
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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