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Tabular Machine Learning Methods for Predicting Gas Turbine Emissions

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dc.contributor.authorPotts, Rebecca
dc.contributor.authorHackney, Rick
dc.contributor.authorLeontidis, Georgios
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2023-08-22T15:33:00Z
dc.date.available2023-08-22T15:33:00Z
dc.date.issued2023-08-14
dc.descriptionThe work presented here received funding from EPSRC (EP/W522089/1) and Siemens Energy Industrial Turbomachinery Ltd. as part of the iCASE EPSRC PhD studentship “Predictive Emission Monitoring Systems for Gas Turbines”.en
dc.description.statusPeer revieweden
dc.format.extent21
dc.format.extent1108321
dc.identifier273882475
dc.identifier09941803-5110-457b-a81b-737d87f90cf6
dc.identifier85172917356
dc.identifier85172917356
dc.identifier.citationPotts, R, Hackney, R & Leontidis, G 2023, 'Tabular Machine Learning Methods for Predicting Gas Turbine Emissions', Machine Learning and Knowledge Extraction, vol. 5, no. 3, make5030055, pp. 1055-1075. https://doi.org/10.3390/make5030055en
dc.identifier.doi10.3390/make5030055
dc.identifier.iss3en
dc.identifier.issn2504-4990
dc.identifier.otherORCID: /0000-0001-6671-5568/work/141302278
dc.identifier.urihttps://hdl.handle.net/2164/21518
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85172917356&partnerID=8YFLogxKen
dc.identifier.vol5en
dc.language.isoeng
dc.relation.ispartofMachine Learning and Knowledge Extractionen
dc.subjectSDG 9 - Industry, Innovation, and Infrastructureen
dc.subjectSDG 7 - Affordable and Clean Energyen
dc.subject2040 Data and Artificial Intelligenceen
dc.subject2040 Energy Tranistionen
dc.subjectgas turbinesen
dc.subjectmachine learningen
dc.subjecttabular dataen
dc.subjecttransformersen
dc.subjectPEMSen
dc.subjectemissionsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectEngineering (miscellaneous)en
dc.subjectArtificial Intelligenceen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/W522089/1en
dc.subject.lccQA75en
dc.titleTabular Machine Learning Methods for Predicting Gas Turbine Emissionsen
dc.typeJournal articleen

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