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dc.contributor.authorOzoh, Patrick
dc.contributor.authorAbd-Rahman, Shapiee
dc.contributor.authorLabadin, Jane
dc.contributor.authorApperley, Mark
dc.contributor.editorMasoodian, Masood
dc.contributor.editorAndré, Elisabeth
dc.contributor.editorLuz, Saturnino
dc.contributor.editorRist, Thomas
dc.coverage.spatialComo, Italy
dc.date.accessioned2015-01-27T21:22:48Z
dc.date.available2014
dc.date.available2015-01-27T21:22:48Z
dc.date.issued2014
dc.identifier.citationOzoh, P., Abd-Rahman, S., Labadin, J., & Apperley, M. (2014). Visualizing a control strategy for estimating electricity consumption. In M. Masoodian, E. André, S. Luz, & T. Rist (Eds.), FSEA 2014 – Proceedings of the AVI 2014 Workshop on Fostering Smart Energy Applications through Advanced Visual Interfaces, Como, Italy, May 27, 2014 (pp. 43–47).en
dc.identifier.issn1177-777X
dc.identifier.urihttps://hdl.handle.net/10289/9084
dc.description.abstractThis paper investigates the potential of applying different control measures on low power and high power appliances with the goal of evolving efficiency in electricity consumption. The research involves carrying out simulations on their power consumption readings to set up a control system. The study discovers savings on all appliances under study to be 12.8% Kw, not minding occupancy rate of the building. Air-conditioners have the greatest impact of a 6% Kw contribution on savings. This would lead to a substantial contribution when converted to pricing rates. The results from the study indicate that control measures should be extended to peak periods and power saving measures extended to more appliances.
dc.format.extent43 - 47
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherDepartment of Computer Science, The University of Waikatoen_NZ
dc.rights© 2014 the authors.
dc.sourceFSEA 2014
dc.subjectcontrol measures
dc.subjectefficiency
dc.subjectsimulation
dc.subjectoccupancy rate
dc.subjectsavings
dc.subjectcomputer science
dc.titleVisualizing a control strategy for estimating electricity consumption
dc.typeConference Contribution
dc.relation.isPartOfFSEA 2014 – Proceedings of the AVI 2014 Workshop on Fostering Smart Energy Applications through Advanced Visual Interfaces
pubs.begin-page43
pubs.elements-id84894
pubs.end-page47
pubs.finish-date2014-05-27
pubs.organisational-group/Waikato
pubs.organisational-group/Waikato/FCMS
pubs.organisational-group/Waikato/FCMS/Computer Science
pubs.organisational-group/Waikato/Student
pubs.start-date2014-05-27


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