Repository logo
 
Publication

Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM

2017Conference object Open access
Simple item page
dc.contributor.authorSantos, Gabriel
dc.contributor.authorPinto, Tiago
dc.contributor.authorPraça, Isabel
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-11T09:57:28Z
dc.date.available2021-03-11T09:57:28Z
dc.date.issued2017
dc.description.abstractThis paper proposes the use of ontologies to enable information and knowledge exchange, to test different electricity market models and to allow players from different systems to interact in common market environments. Multi-agent based software is particularly well fitted to analyse dynamic and adaptive systems with complex interactions among its constituents, such as the complex and dynamic electricity markets. The main drivers are the markets’ restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources. An ontology to represent the concepts related to the Nord Pool Elspot market is proposed. It is validated through a case study considering the simulation of Elspot market. Results show that heterogeneous agents are able to effectively participate in the simulation by using the proposed ontologies to support their communications with the Nord Pool market operator.pt_PT
dc.description.sponsorshipThis work has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 641794 (project DREAM-GO) and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-319-65340-2_24pt_PT
dc.identifier.isbn978-3-319-65340-2
dc.identifier.urihttp://hdl.handle.net/10400.22/17403
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relationEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-319-65340-2_24pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectElectricity marketspt_PT
dc.subjectMulti-agent simulationpt_PT
dc.subjectNord Pool Elspot marketpt_PT
dc.subjectSemantic interoperabilitypt_PT
dc.titleNord Pool Ontology to Enhance Electricity Markets Simulation in MASCEMpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/641794/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.endPage294pt_PT
oaire.citation.startPage283pt_PT
oaire.citation.titlePortuguese Conference on Artificial Intelligence (EPIA 2017)pt_PT
oaire.citation.volume10423pt_PT
oaire.fundingStreamH2020
oaire.fundingStream5876
person.familyNameSantos
person.familyNamePinto
person.familyNamePraça
person.familyNameVale
person.givenNameGabriel
person.givenNameTiago
person.givenNameIsabel
person.givenNameZita
person.identifierR-000-T7J
person.identifier299522
person.identifier632184
person.identifier.ciencia-id1413-B9E5-12BE
person.identifier.ciencia-id2414-9B03-C4BB
person.identifier.ciencia-idC710-4218-1BFF
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-8839-8807
person.identifier.orcid0000-0001-8248-080X
person.identifier.orcid0000-0002-2519-9859
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridH-7012-2018
person.identifier.ridT-2245-2018
person.identifier.ridK-8430-2014
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id48761868500
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id22734900800
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication9142c479-6934-4f56-a580-fc5cbb266478
relation.isAuthorOfPublication8d58ddc0-1023-47c0-a005-129d412ce98d
relation.isAuthorOfPublicationee4ecacd-c6c6-41e8-bca1-21a60ff05f50
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery9142c479-6934-4f56-a580-fc5cbb266478
relation.isProjectOfPublication4a092e97-cc2f-4f57-8d3c-cf1709963516
relation.isProjectOfPublication237af9d5-70ed-4e45-9f10-3853d860255e
relation.isProjectOfPublication.latestForDiscovery237af9d5-70ed-4e45-9f10-3853d860255e

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
COM_GECAD_epia_2017.pdf
Size:
549.39 KB
Format:
Adobe Portable Document Format
Download

Collections

ISEP – GECAD – Comunicações em eventos científicos