Domestic load characterization through smart meter advance stratification

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)
64 Downloads (Pure)


The heterogeneity of domestic loads presents Distribution Network Operators with operational uncertainties which may become problematic as generation capacity shrinks and network infrastructure ages. High resolution meter advances recorded by increasingly ubiquitous Smart Meters can be seen as representing base loads along with aggregations of multiple domestic appliances – in this letter, a Bayesian formulation of the finite mixture probability distribution is employed to enumerate and capture generalizations of these, from which compact representations of domestic load profiles can be formed.
Original languageEnglish
Pages (from-to)1571-1572
Number of pages2
JournalIEEE Transactions on Smart Grid
Issue number3
Early online date15 May 2012
Publication statusPublished - Sept 2012


  • power systems
  • load modeling
  • clustering methods
  • bayesian methods
  • smart grids
  • pricing
  • load modeling
  • electricity
  • educational institutions
  • data models


Dive into the research topics of 'Domestic load characterization through smart meter advance stratification'. Together they form a unique fingerprint.

Cite this