Attention-Based Deep Learning Methods for Predicting Gas Turbine Emissions

Potts, Rebecca Lauren; Leontidis, Georgios

Attention-Based Deep Learning Methods for Predicting Gas Turbine Emissions

dc.contributor.author	Potts, Rebecca Lauren
dc.contributor.author	Leontidis, Georgios
dc.contributor.institution	University of Aberdeen.Natural & Computing Sciences	en
dc.contributor.institution	University of Aberdeen.Vice Principals	en
dc.contributor.institution	University of Aberdeen.Computing Science	en
dc.contributor.institution	University of Aberdeen.Machine Learning	en
dc.contributor.institution	University of Aberdeen.Centre for Energy Transition	en
dc.date.accessioned	2022-11-24T20:41:02Z
dc.date.available	2022-11-24T20:41:02Z
dc.date.issued	2023-01-23
dc.description	This work was supported by the Engineering and Physical Sciences Research Council [EP/W522089/1].	en
dc.description.status	Peer reviewed	en
dc.format.extent	3
dc.format.extent	189871
dc.identifier	222474882
dc.identifier	b1961909-3c8a-4562-ad56-caf67e7e4cdb
dc.identifier.citation	Potts, R L & Leontidis, G 2023, 'Attention-Based Deep Learning Methods for Predicting Gas Turbine Emissions', Northern Lights Deep Learning Conference 2023 (Extended Abstracts), Tromso, Norway, 9/01/23 - 13/01/23.	en
dc.identifier.citation	conference	en
dc.identifier.other	ORCID: /0000-0001-6671-5568/work/128323370
dc.identifier.uri	https://hdl.handle.net/2164/19602
dc.language.iso	eng
dc.subject	SDG 9 - Industry, Innovation, and Infrastructure	en
dc.subject	SDG 7 - Affordable and Clean Energy	en
dc.subject	2040 Data and Artificial Intelligence	en
dc.subject	Artificial intelligence	en
dc.subject	Deep Learning	en
dc.subject	Gas Turbines	en
dc.subject	predicting emissions	en
dc.subject	QA75 Electronic computers. Computer science	en
dc.subject	Engineering and Physical Sciences Research Council (EPSRC)	en
dc.subject	EP/W522089/1	en
dc.subject.lcc	QA75	en
dc.title	Attention-Based Deep Learning Methods for Predicting Gas Turbine Emissions	en
dc.type	Conference poster	en

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