Data visualisation for remote area electrification decision-making: a case study of Indonesia

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Abstract

Energy poverty is a key challenge in many developing countries. Given that energy poverty contributes to a variety of social issues, the governments of these countries have aimed to bring electricity to as many remote areas as possible. However, this presents challenges because of the significant uncertainties arising from the geographic, social, demographic, economic and political characteristics that must be considered. These characteristics must be clearly communicated in such a way that supports the decision-making process. Using Indonesia as a case study, this research interviews experts in the field and seeks to cohesively integrate various visualisation techniques that may facilitate informed decision-making regarding remote area electrification.

Original languageEnglish
Title of host publicationProceedings of the 2021 The Twelfth ACM International Conference on Future Energy Systems
EditorsYashar Ghiassi-Farrokhfal
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages382-388
Number of pages7
ISBN (Electronic)9781450383332
DOIs
Publication statusPublished - 2021
EventWorkshop of Energy Data Visualisation (EnergyVis) 2021 - Online, Italy
Duration: 28 Jun 202128 Jun 2021
Conference number: 2nd
https://energyvis.org

Conference

ConferenceWorkshop of Energy Data Visualisation (EnergyVis) 2021
Abbreviated titleEnergyVis
Country/TerritoryItaly
Period28/06/2128/06/21
Internet address

Keywords

  • areas
  • data visualisation
  • electrification
  • multidimensional data
  • remote

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