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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/39338

Title: Energy Analytics in Public Buildings using Interactive Histograms
Author(s): Díaz Blanco, Ignacio
Cuadrado Vega, Abel Alberto
Pérez López, Daniel
Domínguez González, Manuel
Alonso Castro, Serafín
Prada Medrano, Miguel Ángel
Keywords: Visual analytics
Energy efficiency
Multiway analysis
Data cube
Issue date: Jan-2017
Publisher: Elsevier
Publisher version: http://dx.doi.org/10.1016/j.enbuild.2016.10.026
Citation: Energy and Buildings, 134, p. 94–104 (2017); doi:10.1016/j.enbuild.2016.10.026
Format extent: p. 94–104
Abstract: In 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)
URI: http://hdl.handle.net/10651/39338
ISSN: 0378-7788
Sponsored: The 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
Project id.: MEC-FEDER/DPI2015-69891-C2-1/2-R
Appears in Collections:Artículos
Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas
Investigaciones y Documentos OpenAIRE

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