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Publication:
The internet of energy systems: blockchain and smart contracts meet federated learning

dc.conference.dateMAY 01-05, 2023
dc.conference.locationDubai, U ARAB EMIRATES
dc.conference.organizer5th IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorÖzkasap, Öznur
dc.contributor.kuauthorZekiye, Abdulrezzak
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-12-29T09:36:02Z
dc.date.issued2023
dc.description.abstractThe Internet of Energy (IoE) is a distributed paradigm that integrates smart networks and Internet technology. In contrast to traditional centralized energy systems, distributed Energy Internet systems with multiple components and communication requirements necessitate innovative technologies for decentralization, reliability, efficiency and security. Novel blockchain architectures, smart contracts, and distributed federated learning technologies offer new opportunities for decentralized Energy Internet services. In this paper, we classify state-of-the-art solutions utilizing blockchain, smart contracts, and federated learning for the IoE domains. In this context, four representative system models are identified and discussed. These models demonstrate various ways in which blockchain, smart contracts, and federated learning can be integrated to support the main domains of IoE, namely distributed energy trading and sharing, smart microgrid energy networks, and electric and connected vehicle management.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessN/A
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipThis work was supported by TUBITAK 2247-A National Leader Researchers Award 121C338.
dc.description.studentonlypublicationNo
dc.description.studentpublicationYes
dc.description.versionN/A
dc.identifier.WoSQuartileN/A
dc.identifier.doi10.1109/ICBC56567.2023.10174894
dc.identifier.embargoN/A
dc.identifier.grantno121C338
dc.identifier.isbn9798350310191
dc.identifier.issn2832-8892
dc.identifier.scopus2-s2.0-85165395479
dc.identifier.urihttps://doi.org/10.1109/ICBC56567.2023.10174894
dc.identifier.urihttps://hdl.handle.net/20.500.14288/21908
dc.identifier.wos001032797100024
dc.keywordsInternet of energy
dc.keywordsFederated learning
dc.keywordsBlockchain
dc.keywordsEnergy trading
dc.keywordsVehicle management
dc.keywordsSmart microgrids
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartof2023 IEEE International Conference on Blockchain and Cryptocurrency, ICBC
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectComputer science
dc.subjectInformation systems
dc.subjectInterdisciplinary applications
dc.subjectTheory and methods
dc.titleThe internet of energy systems: blockchain and smart contracts meet federated learning
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorZekiye, Abdulrezzak
local.contributor.kuauthorÖzkasap, Öznur
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