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LEMMAS: a secured and trusted Local Energy Market simulation system

dc.contributor.authorAndrade, Rui
dc.contributor.authorVitorino, João
dc.contributor.authorWannous, Sinan
dc.contributor.authorMaia, Eva
dc.contributor.authorPraça, Isabel
dc.date.accessioned2023-09-05T11:44:09Z
dc.date.embargo2031
dc.date.issued2022
dc.description.abstractThe ever changing nature of the energy grid and the addition of novel systems such as the Local Energy Market (LEM) drastically increase its complexity, thus making the management harder and with increased importance at local level. Providing innovative and advanced management solutions is fundamental for the success of this new distributed energy grid paradigm. In this paper we extend Multi-Agent System (MAS) based simulation tool for LEMs called LEMMAS. A cyberattack detection model is developed and integrated in LEMMAS with the objective of preventing cyber-attacks from affecting the negotiations. This model is compared with the previous version which only analysed the trustworthiness of participants. The results show that the cyber-attack detection model drastically increases the security capabilities of LEMMAS.pt_PT
dc.description.sponsorshipThis work has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project SPET–PTDC/EEI-EEE/029165/2017. This work has also received funding from the project UIDB/00760/2020 and Ph.D scholarship with reference 2021.07629.BD.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/EEM54602.2022.9921159pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/23452
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationSPET–PTDC/EEI-EEE/029165/2017pt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationExploring Robust and Explainable Artificial Intelligent Models
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9921159pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectLocal Energy Marketpt_PT
dc.subjectMulti-Agent Systempt_PT
dc.subjectTrustpt_PT
dc.subjectCyber-Securitypt_PT
dc.titleLEMMAS: a secured and trusted Local Energy Market simulation systempt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardTitleExploring Robust and Explainable Artificial Intelligent Models
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//2021.07629.BD/PT
oaire.citation.conferencePlaceLjubljana, Sloveniapt_PT
oaire.citation.endPage5pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title18th International Conference on the European Energy Market (EEM) 2022pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAndrade
person.familyNameMachado Vitorino
person.familyNameWannous
person.familyNameMaia
person.familyNamePraça
person.givenNameRui
person.givenNameJoão Pedro
person.givenNameSinan
person.givenNameEva
person.givenNameIsabel
person.identifier1408593
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person.identifier299522
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person.identifier.ciencia-id4F14-EF83-C4B9
person.identifier.ciencia-idC710-4218-1BFF
person.identifier.orcid0000-0003-2356-3706
person.identifier.orcid0000-0002-4968-3653
person.identifier.orcid0000-0002-9711-4850
person.identifier.orcid0000-0002-8075-531X
person.identifier.orcid0000-0002-2519-9859
person.identifier.ridK-8430-2014
person.identifier.scopus-author-id57579914600
person.identifier.scopus-author-id22734900800
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.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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