Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Classification of AMI residential load profiles in the presence of missing data

Harvey, Poppy and Stephen, Bruce and Galloway, Stuart (2016) Classification of AMI residential load profiles in the presence of missing data. IEEE Transactions on Smart Grid, 7 (4). 1944 - 1945. ISSN 1949-3053

Text (Harvey-etal-IEEE-TOPD-2016-Classification-of-AMI-residential-load-profiles)
Harvey_etal_IEEE_TOPD_2016_Classification_of_AMI_residential_load_profiles.pdf - Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (378kB) | Preview


Domestic energy usage patterns can be reduced to a series of classifications for power system analysis or operational purposes, generalizing household behavior into particular load profiles without noise induced variability. However, with AMI data transmissions over wireless networks becoming more commonplace data losses can inhibit classification negating the benefits to the operation of the power system as a whole. Here, an approach allowing incomplete load profiles to be classified while maintaining less than a 10% classification error with up to 20% of the data missing is presented.