Using competency questions to select optimal clustering structures for residential energy consumption patterns

TL;DR

This paper introduces a formalized approach using competency questions to evaluate and select optimal clustering structures in residential energy consumption data, reducing subjectivity and improving reproducibility.

Contribution

It presents a novel method that formalizes expert knowledge through competency questions for context-specific clustering evaluation in energy consumption analysis.

Findings

Formalization of expert knowledge improves clustering evaluation.

Enhances reproducibility of clustering structure selection.

Applicable to residential energy consumption data analysis.

Abstract

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.