Development of Low-Voltage Load Models for the Residential Load Sector

Adam Colin, George Tsagarakis, Aristides Kiprakis, Steve McLaughlin

Research output: Contribution to journalArticlepeer-review

137 Citations (Scopus)
250 Downloads (Pure)


A bottom-up modeling approach is presented that uses a Markov chain Monte Carlo (MCMC) method to develop demand profiles. The demand profiles are combined with the electrical characteristics of the appliance to create detailed time-varying models of residential loads suitable for the analysis of smart grid applications and low-voltage (LV) demand-side management. The results obtained demonstrate significant temporal variations in the electrical characteristics of LV customers that are not captured by existing load profile or load model development approaches. The software developed within this work is made freely available for use by the community.
Original languageEnglish
Pages (from-to)2180-2188
Number of pages9
JournalIEEE Transactions on Power Systems
Issue number5
Early online date12 May 2014
Publication statusPublished - 2014


Dive into the research topics of 'Development of Low-Voltage Load Models for the Residential Load Sector'. Together they form a unique fingerprint.

Cite this