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Multiplicative Decomposition Model to Predict UK’s Long-Term Electricity Demand with Monthly and Hourly Resolution

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dc.contributor.authorBaillon, Marie
dc.contributor.authorRomano, M Carmen
dc.contributor.authorUllner, Ekkehard
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.date.accessioned2025-10-07T13:32:01Z
dc.date.issued2025-10-06
dc.descriptionThe work was carried out as part of a Master of Science qualification at the University of Aberdeen. I am forever grateful to Derek Dalton and Alejandro Jeketo for their thorough proofreading and their encouragement. The authors would like to thank Reviewer 2 of the manuscript, who provided insightful comments and suggestions for how the model could be further enhanced in the future.en
dc.description.statusPeer revieweden
dc.format.extent50
dc.format.extent6840702
dc.identifier308827578
dc.identifier8d1780ef-b7b9-42b7-9469-4d17afe70a80
dc.identifier.citationBaillon, M, Romano, M C & Ullner, E 2025, 'Multiplicative Decomposition Model to Predict UK’s Long-Term Electricity Demand with Monthly and Hourly Resolution', Analytics, vol. 4, no. 4, 27. https://doi.org/10.3390/analytics4040027en
dc.identifier.doi10.3390/analytics4040027
dc.identifier.issn2813-2203
dc.identifier.otherORCID: /0000-0002-6306-4218/work/194126247
dc.identifier.urihttps://hdl.handle.net/2164/26163
dc.language.isoeng
dc.relation.ispartofAnalyticsen
dc.subjectFourier seriesen
dc.subjectmulti-layer perceptronen
dc.subjectSARIMAen
dc.subjectelectricity demanden
dc.subjectUKen
dc.subjectQC Physicsen
dc.subjectSupplementary Dataen
dc.subjectDASen
dc.subjectLinken
dc.subject.lccQCen
dc.titleMultiplicative Decomposition Model to Predict UK’s Long-Term Electricity Demand with Monthly and Hourly Resolutionen
dc.typeJournal articleen

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