TY - GEN
T1 - Mining residential household information from low-resolution smart meter data
AU - Fusco, Francesco
AU - Wurst, Michael
AU - Yoon, Jiwon
PY - 2012
Y1 - 2012
N2 - The implementation of electricity smart meters has raised a number of privacy concerns, related to all sorts of information about the nature of the residents that could be inferred from readings of the power consumption. In this paper we attempt to classify households according to different classes, ranging from the presence of kids and of specific appliances to the employment status and education level of the residents. We apply a wide range of features and classification methods and measure the achievable accuracy. It is shown that, at a time resolution of 30 minutes, only a few of the investigated problems give a satisfactorily accuracy, while most of them would require a higher sampling frequency that is not practical for smart meters.
AB - The implementation of electricity smart meters has raised a number of privacy concerns, related to all sorts of information about the nature of the residents that could be inferred from readings of the power consumption. In this paper we attempt to classify households according to different classes, ranging from the presence of kids and of specific appliances to the employment status and education level of the residents. We apply a wide range of features and classification methods and measure the achievable accuracy. It is shown that, at a time resolution of 30 minutes, only a few of the investigated problems give a satisfactorily accuracy, while most of them would require a higher sampling frequency that is not practical for smart meters.
UR - http://www.scopus.com/inward/record.url?scp=84874556828&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84874556828
SN - 9784990644109
T3 - Proceedings - International Conference on Pattern Recognition
SP - 3545
EP - 3548
BT - ICPR 2012 - 21st International Conference on Pattern Recognition
T2 - 21st International Conference on Pattern Recognition, ICPR 2012
Y2 - 11 November 2012 through 15 November 2012
ER -