13 citations · 18 across the 4 of their papers we have counts for
4 papers
CROCS: A Two-Stage Clustering Framework for Behaviour-Centric Consumer Segmentation with Smart Meter Data
Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston +2
With grid operators confronting rising uncertainty from renewable integration and a broader push toward electrification, Demand-Side Management (DSM) -- particularly Demand Respons…
Comparing Clustering Approaches for Smart Meter Time Series: Investigating the Influence of Dataset Properties on Performance
Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston +2
The widespread adoption of smart meters for monitoring energy consumption has generated vast quantities of high-resolution time series data which remains underutilised. While clust…
On the Use of Relative Validity Indices for Comparing Clustering Approaches
Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston +2
Relative Validity Indices (RVIs) such as the Silhouette Width Criterion and Davies Bouldin indices are the most widely used tools for evaluating and optimising clustering outcomes.…
A smart building semantic platform to enable data re-use in energy analytics applications: the Data Clearing House
Daniel Hugo, John McCulloch, Akram Hameed +4
Systems in the built environment continuously emit time series data about resource usage (e.g., energy and water), embedded electrical generation/storage, status of equipment, patt…