Forecasting the waste production hierarchical time series with correlation structure

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dc.contributor.authorEryganov, Ivancs
dc.contributor.authorRosecký, Martincs
dc.contributor.authorŠomplák, Radovancs
dc.contributor.authorSmejkalová, Veronikacs
dc.coverage.issueJuly 2024cs
dc.date.accessioned2025-02-28T13:53:58Z
dc.date.available2025-02-28T13:53:58Z
dc.date.issued2024-07-02cs
dc.description.abstractContinuous increase in society's prosperity causes overwhelming growth of the produced municipal solid waste. Circular economy initiatives help to solve this problem by creating closed production cycles, where the produced waste is recycled, or its energy is recovered. An embedment of such principles requires implementation of new waste management strategies. However, these novel strategies must be based on the accurate forecasts of future waste flows. Municipal solid waste production data demonstrate behavior of hierarchical time series. Among all possible approaches to hierarchical times series forecasting, this article is focused on the reconciliation of the base waste generation forecasts. The novel method, that is based on the game-theoretically optimal reconciliation of hierarchical time series, is presented. The modified approach enables to incorporate interdependencies between time series using correlation matrix and to obtain the forecasts corresponding to the unique solution of the optimization problem. The potential of the proposed abstract approach is demonstrated on the waste production data of paper, plastics (both primarily sorted by households), and mixed municipal solid waste from the Czech Republic.en
dc.formattextcs
dc.format.extent1-23cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationOPTIMIZATION AND ENGINEERING. 2024, issue July 2024, p. 1-23.en
dc.identifier.doi10.1007/s11081-024-09898-0cs
dc.identifier.issn1573-2924cs
dc.identifier.orcid0000-0003-2203-882Xcs
dc.identifier.orcid0000-0003-0848-7477cs
dc.identifier.orcid0000-0002-5714-4537cs
dc.identifier.orcid0000-0002-6763-2059cs
dc.identifier.other189262cs
dc.identifier.researcheridHNR-5985-2023cs
dc.identifier.researcheridQ-9462-2017cs
dc.identifier.researcheridAAC-8839-2019cs
dc.identifier.scopus57219437840cs
dc.identifier.scopus55515602000cs
dc.identifier.scopus57194697108cs
dc.identifier.urihttps://hdl.handle.net/11012/250086
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofOPTIMIZATION AND ENGINEERINGcs
dc.relation.urihttps://link.springer.com/article/10.1007/s11081-024-09898-0cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1573-2924/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectPredictionen
dc.subjectWaste managementen
dc.subjectGame theoryen
dc.subjectZero-sum gameen
dc.subjectNash equilibriumen
dc.subjectOptimizationen
dc.titleForecasting the waste production hierarchical time series with correlation structureen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-189262en
sync.item.dbtypeVAVen
sync.item.insts2025.02.28 14:53:58en
sync.item.modts2025.02.28 11:32:07en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav matematikycs
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav procesního inženýrstvícs
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