Potts, RebeccaHackney, RickLeontidis, Georgios2023-08-222023-08-222023-08-14Potts, 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/make50300552504-4990ORCID: /0000-0001-6671-5568/work/141302278https://hdl.handle.net/2164/21518The 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”.211108321engSDG 9 - Industry, Innovation, and InfrastructureSDG 7 - Affordable and Clean Energy2040 Data and Artificial Intelligence2040 Energy Tranistiongas turbinesmachine learningtabular datatransformersPEMSemissionsQA75 Electronic computers. Computer scienceEngineering (miscellaneous)Artificial IntelligenceEngineering and Physical Sciences Research Council (EPSRC)EP/W522089/1QA75Journal article10.3390/make5030055http://www.scopus.com/inward/record.url?scp=85172917356&partnerID=8YFLogxK53