Towards a Model for Assessing the Effects of Social-Cyber-Physical Threats on the Future Power Grid – Review and Workshop Results
annif.suggestions | electrical power networks|technology|energy|energy production (process industry)|effects (results)|change|electrical engineering|distribution of electricity|safety and security|renewable energy sources|en | en |
annif.suggestions.links | http://www.yso.fi/onto/yso/p7753|http://www.yso.fi/onto/yso/p2339|http://www.yso.fi/onto/yso/p1310|http://www.yso.fi/onto/yso/p2384|http://www.yso.fi/onto/yso/p795|http://www.yso.fi/onto/yso/p277|http://www.yso.fi/onto/yso/p1585|http://www.yso.fi/onto/yso/p187|http://www.yso.fi/onto/yso/p7349|http://www.yso.fi/onto/yso/p20762 | en |
dc.contributor.author | Berg, Petra | |
dc.contributor.author | Berlijn, Sonja Monica | |
dc.contributor.author | Eltahawy, Bahaa | |
dc.contributor.author | Hilber, Patrik | |
dc.contributor.author | Karimi, Mazaher | |
dc.contributor.author | Klepper, Karina Barnholt | |
dc.contributor.author | Turtola, Linda | |
dc.contributor.author | Ulshagen, Andrea | |
dc.contributor.author | Xu, Qianwen | |
dc.contributor.department | Vebic | - |
dc.contributor.faculty | fi=Markkinoinnin ja viestinnän yksikkö|en=School of Marketing and Communication| | - |
dc.contributor.orcid | https://orcid.org/0000-0002-7899-3458 | - |
dc.contributor.orcid | https://orcid.org/0000-0001-6372-7547 | - |
dc.contributor.orcid | https://orcid.org/0000-0003-2145-4936 | - |
dc.contributor.organization | fi=Vaasan yliopisto|en=University of Vaasa| | |
dc.date.accessioned | 2025-01-08T11:29:57Z | |
dc.date.accessioned | 2025-06-25T13:55:31Z | |
dc.date.available | 2025-01-08T11:29:57Z | |
dc.date.issued | 2024-06-25 | |
dc.description.abstract | The energy system, including the electrical power system, is currently undergoing major changes to meet increased demands and climate target plans, and to stand against potential malicious activities and all sorts of disruptions. Specifically, the electrical power system is drastically changing with regards to consumption, production, transmission, control, monitoring, markets, and digitalization. Such a change, however, makes the power system an attractive and vulnerable target to all kinds of disruptive events and social-cyber-physical attacks since the system is crucial for the functioning of the society and economy. In this work, to act against such events and to study the future power system's susceptibility and resilience towards social-cyber-physical attacks, the Resilient Digital Sustainable Energy Transition (REDISET) project has shown the need for a new model that is able to describe the future electrical power system in a way that reflects the future reality. In this paper, existing power system models, the changing landscape of power systems, the drivers for a new model, the suggested model that comprises 7 building blocks instead of today's 3, and finally a direction of future related work are presented. | - |
dc.description.notification | ©2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.description.reviewstatus | fi=vertaisarvioitu|en=peerReviewed| | - |
dc.format.bitstream | true | |
dc.format.content | fi=kokoteksti|en=fulltext| | - |
dc.format.extent | 6 | - |
dc.identifier.isbn | 979-8-3503-6496-5 | - |
dc.identifier.olddbid | 22312 | |
dc.identifier.oldhandle | 10024/18591 | |
dc.identifier.uri | https://osuva.uwasa.fi/handle/11111/3005 | |
dc.identifier.urn | URN:NBN:fi-fe202501081833 | - |
dc.language.iso | eng | - |
dc.publisher | IEEE | - |
dc.relation.conference | International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE) | - |
dc.relation.doi | 10.1109/aie61866.2024.10561312 | - |
dc.relation.funder | Nordic Energy Research | - |
dc.relation.funder | Business Finland | - |
dc.relation.funder | The Swedish Energy Agency | - |
dc.relation.funder | The Norwegian SmartGrid Centre | - |
dc.relation.funder | Statnett | - |
dc.relation.funder | Svenska Kraftnät | - |
dc.relation.funder | Fingrid | - |
dc.relation.isbn | 979-8-3503-6497-2 | - |
dc.relation.ispartof | 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE) | - |
dc.relation.url | https://doi.org/10.1109/AIE61866.2024.10561312 | - |
dc.source.identifier | Scopus:85197885404 | - |
dc.source.identifier | https://osuva.uwasa.fi/handle/10024/18591 | |
dc.subject | Power Grid | - |
dc.subject | Resilience | - |
dc.subject | Social-cyber-physical Threats | - |
dc.subject.discipline | fi=Markkinointi|en=Marketing| | - |
dc.subject.discipline | fi=Sähkötekniikka|en=Electrical Engineering| | - |
dc.subject.discipline | fi=Tietotekniikka|en=Computer Science| | - |
dc.title | Towards a Model for Assessing the Effects of Social-Cyber-Physical Threats on the Future Power Grid – Review and Workshop Results | - |
dc.type.okm | fi=A4 Artikkeli konferenssijulkaisussa|en=A4 Peer-reviewed article in conference proceeding|sv=A4 Artikel i en konferenspublikation| | - |
dc.type.publication | article | - |
dc.type.version | acceptedVersion | - |
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