FUSE – using artificial intelligence in the energy grid of tomorrow

annif.suggestionsrenewable energy sources|electrical power networks|smart grids|artificial intelligence|data mining|automation|distribution of electricity|information technology|energy production (process industry)|machine learning|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p20762|http://www.yso.fi/onto/yso/p7753|http://www.yso.fi/onto/yso/p29493|http://www.yso.fi/onto/yso/p2616|http://www.yso.fi/onto/yso/p5520|http://www.yso.fi/onto/yso/p11477|http://www.yso.fi/onto/yso/p187|http://www.yso.fi/onto/yso/p5462|http://www.yso.fi/onto/yso/p2384|http://www.yso.fi/onto/yso/p21846en
dc.contributor.authorVögele, Thomas
dc.contributor.authorBacke, Christian
dc.contributor.authorBande, Miguel
dc.contributor.authorConradi, Peter
dc.contributor.authorHovila, Petri
dc.contributor.authorKauhaniemi, Kimmo
dc.contributor.authorKumar, Haresh
dc.contributor.authorKyntäjä, Timo
dc.contributor.authorRita-Kasari, Matti
dc.contributor.authorShafiq, Muhammad
dc.contributor.authorWerner, Stefan
dc.contributor.authorWiezorek, Christian
dc.contributor.departmentfi=Ei tutkimusalustaa|en=No platform|-
dc.contributor.facultyfi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations|-
dc.contributor.orcidhttps://orcid.org/0000-0002-7429-3171-
dc.contributor.orcidhttps://orcid.org/0000-0003-2556-1464-
dc.contributor.orcidhttps://orcid.org/0000-0002-2272-0899-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2022-03-30T10:05:41Z
dc.date.accessioned2025-06-25T13:28:38Z
dc.date.available2022-03-30T10:05:41Z
dc.date.issued2020
dc.description.abstractThe objective of Future Smart Energy (FUSE), a Finnish-German research and development project, is to develop methods based on artificial intelligence (AI) that will help to increase the resilience of future energy distribution grids. The use cases that are investigated include both condition monitoring/predictive maintenance, and distributed demand-side management in medium-voltage and low-voltage grids. The FUSE concept foresees a hierarchical infrastructure of sensing- and data processing nodes that use AI to transform raw data into information on asset and grid status and performance. FUSE supports the upward flow of data and aggregation of information into high-level visualisations for grid operators, as well as the downward flow of soft control signals that trigger the distributed self-control of assets. This study outlines the FUSE concept and presents the first results.-
dc.description.notificationThis is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent3-
dc.format.pagerange466-468-
dc.identifier.olddbid15745
dc.identifier.oldhandle10024/13754
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/2172
dc.identifier.urnURN:NBN:fi-fe2022033026151-
dc.language.isoeng-
dc.publisherInstitution of Engineering and Technology (IET)-
dc.relation.doi10.1049/oap-cired.2021.0091-
dc.relation.funderGerman Federal Ministry of Economic Affairs and Energy-
dc.relation.funderBusiness Finland-
dc.relation.ispartofjournalCIRED - Open Access Proceedings Journal-
dc.relation.issn2515-0855-
dc.relation.issue1-
dc.relation.urlhttps://doi.org/10.1049/oap-cired.2021.0091-
dc.relation.volume2020-
dc.rightsCC BY 4.0-
dc.source.identifierScopus:85117718169-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/13754
dc.subjectControl of electric power systems-
dc.subjectDistribution Network-
dc.subjectmaintenance and safety-
dc.subjectMultivariable control systems-
dc.subjectPlant engineering-
dc.subjectPower engineering computing-
dc.subjectPower system control-
dc.subjectpower system management-
dc.subject.disciplinefi=Sähkötekniikka|en=Electrical Engineering|-
dc.subject.ysoartificial intelligence-
dc.titleFUSE – using artificial intelligence in the energy grid of tomorrow-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|en=A1 Peer-reviewed original journal article|sv=A1 Originalartikel i en vetenskaplig tidskrift|-
dc.type.publicationarticle-
dc.type.versionpublishedVersion-

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
Osuva_Vögele_Backe_Bande_et al_2020.pdf
Size:
281.14 KB
Format:
Adobe Portable Document Format
Description:
Artikkeli

Kokoelmat