Identifying optimal clustering structures for residential energy consumption patterns using competency questions

Wiebke Toussaint, Deshendran Moodley

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
8 Downloads (Pure)

Abstract

Traditional cluster analysis metrics rank clustering structures in terms of compactness and distinctness of clusters. However, in real world applications this is usually insufficient for selecting the optimal clustering structure. Domain experts and visual analysis are often relied on during evaluation, which results in a selection process that tends to be adhoc, subjective and difficult to reproduce. This work proposes the use of competency questions and a cluster scoring matrix to formalise expert knowledge and application requirements for qualitative evaluation of clustering structures. We show how a qualitative ranking of clustering structures can be integrated with traditional metrics to guide cluster evaluation and selection for generating representative energy consumption profiles that characterise residential electricity demand in South Africa. The approach is shown to be highly effective for identifying usable and expressive consumption profiles within this specific application context, and certainly has wider potential for efficient, transparent and repeatable cluster selection in real-world applications.

Original languageEnglish
Title of host publicationProceedings of the South African Institute of Computer Scientists and Information Technologists, SAICSIT 2020
PublisherAssociation for Computing Machinery (ACM)
Pages66-73
Number of pages8
ISBN (Electronic)9781450388474
DOIs
Publication statusPublished - 2020
Event41st South African Institute of Computer Scientists and Information Technologists, SAICSIT 2020: Online conference - , South Africa
Duration: 14 Sep 202016 Sep 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference41st South African Institute of Computer Scientists and Information Technologists, SAICSIT 2020
CountrySouth Africa
Period14/09/2016/09/20

Keywords

  • clustering
  • competency questions
  • household energy use
  • interpretability
  • load profiles
  • South Africa

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