Using competency questions to select optimal clustering structures for residential energy consumption patterns
This addresses the issue of subjective and non-reproducible clustering selection for domain experts in energy consumption analysis, though it is incremental as it applies an existing concept to a specific domain.
The paper tackled the problem of selecting optimal clustering structures for residential energy consumption patterns by formalizing expert knowledge with competency questions, resulting in a more objective and reproducible method compared to ad-hoc approaches.
During cluster analysis domain experts and visual analysis are frequently relied on to identify the optimal clustering structure. This process tends to be adhoc, subjective and difficult to reproduce. This work shows how competency questions can be used to formalise expert knowledge and application requirements for context specific evaluation of a clustering application in the residential energy consumption sector.