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Energy Analytics in Public Buildings using Interactive Histograms

dc.contributor.authorDíaz Blanco, Ignacio 
dc.contributor.authorCuadrado Vega, Abel Alberto 
dc.contributor.authorPérez López, Daniel 
dc.contributor.authorDomínguez González, Manuel
dc.contributor.authorAlonso Castro, Serafín
dc.contributor.authorPrada Medrano, Miguel Ángel
dc.date.accessioned2017-01-18T10:53:55Z
dc.date.available2017-01-18T10:53:55Z
dc.date.issued2017-01
dc.identifier.citationEnergy and Buildings, 134, p. 94–104 (2017); doi:10.1016/j.enbuild.2016.10.026
dc.identifier.issn0378-7788
dc.identifier.urihttp://hdl.handle.net/10651/39338
dc.description.abstractIn this paper we propose a visual analytics approach based on data cube methods to provide an insightful analysis of how energy is being used in a group of public buildings according to many different factors. The analysis is done by means of a web-based visual interface featuring “live” coordinated views – histograms – that show the distribution of demand data, according to different attributes, under different scenarios defined by user-driven filters on these attributes. We use the crossfilter.js library to achieve real-time computation of data cube aggregations for constantly changing user-defined filters, resulting in a fluid visualization of demand parameters (active power, power factor, total harmonic distorsion, etc.) aggregated according to many different factors or dimensions such as time (hour, day of week, month, etc.), building or environment (outside temperature)spa
dc.description.sponsorshipThe authors would like to thank financial support from the Spanish Ministry of Economy (MINECO) and FEDER funds from the EU under grant DPI2015-69891-C2-1/2-R
dc.format.extentp. 94–104spa
dc.language.isoengspa
dc.publisherElsevierspa
dc.relation.ispartofEnergy and Buildings, 134spa
dc.rights© 2017 Elsevier*
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 3.0 España
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectVisual analyticsspa
dc.subjectEnergy efficiencyspa
dc.subjectMultiway analysisspa
dc.subjectData cubespa
dc.titleEnergy Analytics in Public Buildings using Interactive Histogramsspa
dc.typejournal articlespa
dc.identifier.doi10.1016/j.enbuild.2016.10.026
dc.relation.projectIDMEC-FEDER/DPI2015-69891-C2-1/2-R
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.enbuild.2016.10.026spa
dc.rights.accessRightsopen accessspa
dc.type.hasVersionAM


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© 2017 Elsevier
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