Time-pie visualization: Providing contextual information for energy consumption data

Masood Masoodian, Birgit Endrass, Rene Buhling, Pavel Ermolin, Elisabeth Andre

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

9 Citations (Scopus)

Abstract

In recent years a growing number of information visualization systems have been developed to assist users with monitoring their energy consumption, with the hope of reducing energy use through more effective user-awareness. Most of these visualizations can be categorized into either some form of a time-series or pie chart, each with their own limitations. These visualization systems also often ignore incorporating contextual (e.g. weather, environmental) information which could assist users with better interpretation of their energy use information. In this paper we introduce the time-pie visualization technique, which combines the concepts of timeseries and pie charts, and allows the addition of contextual information to energy consumption data.

Original languageEnglish
Title of host publicationProceedings - 2013 17th International Conference on Information Visualisation, IV 2013
Pages102-107
Number of pages6
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Information Visualisation - London, United Kingdom
Duration: 16 Jul 201318 Jul 2013
Conference number: 17

Publication series

NameProceedings of the International Conference on Information Visualisation
ISSN (Print)1093-9547

Conference

ConferenceInternational Conference on Information Visualisation
Abbreviated titleIV
CountryUnited Kingdom
CityLondon
Period16/07/201318/07/2013

Keywords

  • Energy usage management
  • Energy usage monitoring
  • Energy usage visualization
  • Pie chart visualization
  • Rose chart
  • Time-line visualization
  • Time-pie visualization

Fingerprint Dive into the research topics of 'Time-pie visualization: Providing contextual information for energy consumption data'. Together they form a unique fingerprint.

Cite this