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dc.contributor.authorSaleh Salem, Tárik
dc.contributor.authorKathuria, Karan
dc.contributor.authorRamampiaro, Heri
dc.contributor.authorLangseth, Helge
dc.date.accessioned2019-11-05T09:06:24Z
dc.date.available2019-11-05T09:06:24Z
dc.date.created2019-08-29T22:34:33Z
dc.date.issued2019
dc.identifier.citationPROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE. 2019, 33 (1), 9595-9600.nb_NO
dc.identifier.issn2159-5399
dc.identifier.urihttp://hdl.handle.net/11250/2626517
dc.description.abstractKeeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is due to the increasing complexity of the electric power grid system with the intermittent renewable production as one of the contributors. A beforehand information about an occurring imbalance can help the transmission system operator to adjust the production plans, and thus ensure a high security of supply by reducing the use of costly balancing reserves, and consequently reduce undesirable fluctuations of the 50 Hz power system frequency. In this paper, we introduce the relatively new problem of an intra-hour imbalance forecasting for the transmission system operator (TSO). We focus on the use case of the Norwegian TSO, Statnett. We present a complementary imbalance forecasting tool that is able to support the TSO in determining the trend of future imbalances, and show the potential to proactively alleviate imbalances with a higher accuracy compared to the contemporary solution.nb_NO
dc.language.isoengnb_NO
dc.publisherAssociation for the Advancement of Artificial Intelligencenb_NO
dc.relation.urihttps://aaai.org/ojs/index.php/AAAI/article/view/5021/4894
dc.subjectMaskinlæringnb_NO
dc.subjectMachine learningnb_NO
dc.subjectKunstig intelligensnb_NO
dc.subjectArtificial intelligencenb_NO
dc.titleForecasting Intra-Hour Imbalances in Electric Power Systemsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Informasjons- og kommunikasjonsvitenskap: 420nb_NO
dc.subject.nsiVDP::Information and communication science: 420nb_NO
dc.source.pagenumber9595-9600nb_NO
dc.source.volume33nb_NO
dc.source.journalPROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCEnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1609/aaai.v33i01.33019595
dc.identifier.cristin1719993
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2019 by Association for the Advancement of Artificial Intelligencenb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.qualitycode1


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