Repository logo
 
Publication

Constrained Generation Bids in Local Electricity Markets: A Semantic Approach

dc.contributor.authorSantos, Gabriel
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.contributor.authorPinto, Tiago
dc.contributor.authorCorchado, Juan M.
dc.date.accessioned2021-09-20T14:25:27Z
dc.date.available2021-09-20T14:25:27Z
dc.date.issued2020
dc.description.abstracthe worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering the special needs of local energy communities. The proposed approach considers constrained bids that can increase the effectiveness of distributed generation use. The proposed method takes advantage of semantic web technologies, in order to provide models with the required dynamism to overcome the issues related to the constant changes in data and business models. Using such techniques allows the system to be agnostic to the data model and business rules. The proposed solution includes the proposed constraints, application ontology, and semantic rule templates. The paper includes a case study based on real data that illustrates the advantages of using the proposed solution in a community with 27 consumerspt_PT
dc.description.sponsorshipThis work was supported by the MAS-Society Project co-funded by Portugal 2020 Fundo Europeu de Desenvolvimento Regional (FEDER) through PO CI, and under grant UIDB/00760/2020. Gabriel Santos is supported by national funds through a Fundação para a Ciência e a Tecnologia (FCT) PhD studentship with reference SFRH/BD/118487/2016. Pedro Faria is supported by FCT and FEDER with project CEECIND/02887/2017. Tiago Pinto is supported by FCT and FEDER with project CEECIND/ 01811/2017.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/en13153990pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18440
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relationCEECIND/02887/2017pt_PT
dc.relationThe Portuguese International Partnership Programs: assessing the role of scientifics networks in the knowledge society
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/13/15/3990pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectConstrained bidpt_PT
dc.subjectLocal energy marketspt_PT
dc.subjectSemantic rulespt_PT
dc.subjectSemantic web technologiespt_PT
dc.titleConstrained Generation Bids in Local Electricity Markets: A Semantic Approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleThe Portuguese International Partnership Programs: assessing the role of scientifics networks in the knowledge society
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCS-SOC%2F118487%2F2010/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.issue15pt_PT
oaire.citation.startPage3990pt_PT
oaire.citation.titleEnergiespt_PT
oaire.citation.volume13pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream5876
person.familyNameSantos
person.familyNameFaria
person.familyNameVale
person.familyNamePinto
person.givenNameGabriel
person.givenNamePedro
person.givenNameZita
person.givenNameTiago
person.identifier632184
person.identifierR-000-T7J
person.identifier.ciencia-id1413-B9E5-12BE
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-id2414-9B03-C4BB
person.identifier.orcid0000-0001-8839-8807
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0001-8248-080X
person.identifier.ridH-7012-2018
person.identifier.ridA-5824-2012
person.identifier.ridT-2245-2018
person.identifier.scopus-author-id48761868500
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id35219107600
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.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9142c479-6934-4f56-a580-fc5cbb266478
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication8d58ddc0-1023-47c0-a005-129d412ce98d
relation.isAuthorOfPublication.latestForDiscovery35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isProjectOfPublicationd9a6f9a1-dd49-4579-9163-a278877e24d4
relation.isProjectOfPublication237af9d5-70ed-4e45-9f10-3853d860255e
relation.isProjectOfPublication.latestForDiscoveryd9a6f9a1-dd49-4579-9163-a278877e24d4

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ART_GECAD_energies_2020.pdf
Size:
1.36 MB
Format:
Adobe Portable Document Format