• Corpus ID: 219177252

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

@article{Toussaint2020UsingCQ,
  title={Using competency questions to select optimal clustering structures for residential energy consumption patterns},
  author={Wiebke Toussaint and Deshendran Moodley},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.00934}
}
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. 

Figures and Tables from this paper

References

SHOWING 1-10 OF 17 REFERENCES

Household Segmentation by Load Shape and Daily Consumption

Œe widespread global deployment of smart meters o‚ers a unique opportunity for utilities to understand the energy use lifestyles and needs of their consumers. It also presents a new challenge: mining

Household Energy Consumption Segmentation Using Hourly Data

This work investigates a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary and structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies.

An electric energy consumer characterization framework based on data mining techniques

This paper presents an electricity consumer characterization framework based on a knowledge discovery in databases (KDD) procedure, supported by data mining (DM) techniques, applied on the different

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?

Whether using the variability of regular behaviour of households allows the creation of more consistent groupings of households is investigated and compared with daily load profile clustering.

Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data

This paper applies 11 clustering methods to daily residential meter data and evaluates their parameter settings and suitability based on 6 generic performance metrics and post-checking of resulting clusters to discover diverse daily load patterns among residential customers.

Comparing Similarity Perception in Time Series Visualizations

Overall, this work indicates that the choice of visualization affects what temporal patterns the authors consider as similar, i.e., the notion of similarity in time series is not visualization independent.

The Role of Competency Questions in Enterprise Engineering

A logical framework for representing activities, states, time, and cost in an enterprise integration architecture and defines ontologies for these concepts in first-order logic with the use of competency questions.

A software engineering approach to ontology building

Ontologies: principles, methods and applications

This paper outlines a methodology for developing and evaluating ontologies, first discussing informal techniques, concerning such issues as scoping, handling ambiguity, reaching agreement and producing definitions, and considers, a more formal approach.