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Energy Load Profile Analysis and Application for Production Simulation and Scheduling using Energy Load Disaggregation

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dc.contributor.authorKlostermeier, Mario
dc.contributor.authorKunz, Leonhard
dc.contributor.authorMotsch, William
dc.contributor.authorIoshchikhes, Borys
dc.contributor.authorPlociennik, Christiane
dc.contributor.authorRuskowski, Martin
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:33Z
dc.date.available2024-10-21T18:24:33Z
dc.date.issued2024
dc.description.abstractRising energy prices and an increasing share of volatile energy supply from renewable energy are leading to greater interest in detailed modeling of energy consumption in manufacturing. Nevertheless, energy measurements and energy load profiling at the machine level as well as the application of energy-related data for production scheduling is challenging. To provide detailed information for applications like scheduling models, degrees of freedom to adapt to energy consumption must be considered even at the component level. Since metering hardware and energy load profiles are often not available for machine components, the methodical application of energy load disaggregation can contribute to these topics. The paper introduces a concept for incorporating event-based load disaggregation to create energy load profiles for production machines. It also explores and discusses potential applications for simulation and scheduling in manufacturing environments.en
dc.identifier.doi10.18420/inf2024_97
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45262
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectEnergy Load Profiles
dc.subjectLoad Disaggregation
dc.subjectLoad Profile Analysis
dc.subjectProduction Modules
dc.titleEnergy Load Profile Analysis and Application for Production Simulation and Scheduling using Energy Load Disaggregationen
dc.typeText/Conference Paper
gi.citation.endPage1097
gi.citation.publisherPlaceBonn
gi.citation.startPage1079
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitle5. Workshop "KI in der Umweltinformatik" (KIU-2024)

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