Print Email Facebook Twitter Identifying optimal clustering structures for residential energy consumption patterns using competency questions Title Identifying optimal clustering structures for residential energy consumption patterns using competency questions Author Hutiri, Wiebke (TU Delft Information and Communication Technology) Moodley, Deshendran (University of Cape Town) Date 2020 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. Subject clusteringcompetency questionshousehold energy useinterpretabilityload profilesSouth Africa To reference this document use: http://resolver.tudelft.nl/uuid:5c104e44-4399-4443-a4e3-cab26df305bf DOI https://doi.org/10.1145/3410886.3410887 Publisher Association for Computing Machinery (ACM) ISBN 9781450388474 Source Proceedings of the South African Institute of Computer Scientists and Information Technologists, SAICSIT 2020 Event 41st South African Institute of Computer Scientists and Information Technologists, SAICSIT 2020, 2020-09-14 → 2020-09-16, South Africa Series ACM International Conference Proceeding Series Part of collection Institutional Repository Document type conference paper Rights © 2020 Wiebke Hutiri, Deshendran Moodley Files PDF 3410886.3410887.pdf 1.63 MB Close viewer /islandora/object/uuid:5c104e44-4399-4443-a4e3-cab26df305bf/datastream/OBJ/view