Ambient Intelligence based monitoring and energy efficiency optimisation system

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dc.contributor.authorHeilala, Juhani
dc.contributor.authorKlobut, Krzysztof
dc.contributor.authorSalonen, Tapio
dc.contributor.authorSiltanen, Pekka
dc.contributor.authorRuusu, Reino
dc.contributor.authorUrosevic, Ljubisa
dc.contributor.authorReimer, Philip
dc.contributor.authorArmijo, Alberto
dc.contributor.authorSorli, Mikel
dc.contributor.authorFatur, Tomaz
dc.contributor.authorGantar, Ziga
dc.contributor.authorJung, Andreas
dc.contributor.institutionDIGITALIZACIÓN Y AUTOMATIZACIÓN DE LA CONSTRUCCIÓN
dc.contributor.institutionTecnalia Research & Innovation
dc.date.accessioned2024-07-24T11:57:58Z
dc.date.available2024-07-24T11:57:58Z
dc.date.issued2011
dc.description.abstractThe European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (online) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.en
dc.description.statusPeer reviewed
dc.identifier.citationHeilala , J , Klobut , K , Salonen , T , Siltanen , P , Ruusu , R , Urosevic , L , Reimer , P , Armijo , A , Sorli , M , Fatur , T , Gantar , Z & Jung , A 2011 , Ambient Intelligence based monitoring and energy efficiency optimisation system . in Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011 . , 5942349 , Proceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011 , 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011 , Tampere , Finland , 25/05/11 . https://doi.org/10.1109/ISAM.2011.5942349
dc.identifier.citationconference
dc.identifier.doi10.1109/ISAM.2011.5942349
dc.identifier.isbn9781612843438
dc.identifier.urihttps://hdl.handle.net/11556/2789
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=80052077132&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofProceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011
dc.relation.ispartofseriesProceedings - 2011 IEEE International Symposium on Assembly and Manufacturing, ISAM 2011
dc.relation.projectIDSeventh Framework Programme, FP7, 224250
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsEnergy Efficiency
dc.subject.keywordsEnergy Use Parameters
dc.subject.keywordsManufacturing Process
dc.subject.keywordsIndustrial and Manufacturing Engineering
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.subject.keywordsSDG 9 - Industry, Innovation, and Infrastructure
dc.titleAmbient Intelligence based monitoring and energy efficiency optimisation systemen
dc.typeconference output
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