We report on the creation of a database of appliance consumption signatures and two test protocols to be used for appliance recognition tasks. By means of plug-based low-end sensors measuring the electrical consumption at low frequency, typically every 10 seconds, we made two acquisition sessions of one hour on about 100 home appliances divided into 10 categories: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave oven, printers, and televisions (LCD or LED). We measured their consumption in terms of real power (W), reactive power (var), RMS current (A) and phase of voltage relative to current (varphi). We plan to give free access to the database for the whole scientific community. The proposed test protocols will help to objectively compare new algorithms.
%0 Conference Paper
%1 gisler_appliance_2013
%A Gisler, Christophe
%A Ridi, Antonio
%A Zufferey, Damien
%A Abou Khaled, Omar
%A Hennebert, Jean
%B WOSSPA'13
%C Mazafran, Algiers, Algeria
%D 2013
%K imported
%T Appliance Consumption Signature Database and Recognition Test Protocols
%X We report on the creation of a database of appliance consumption signatures and two test protocols to be used for appliance recognition tasks. By means of plug-based low-end sensors measuring the electrical consumption at low frequency, typically every 10 seconds, we made two acquisition sessions of one hour on about 100 home appliances divided into 10 categories: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave oven, printers, and televisions (LCD or LED). We measured their consumption in terms of real power (W), reactive power (var), RMS current (A) and phase of voltage relative to current (varphi). We plan to give free access to the database for the whole scientific community. The proposed test protocols will help to objectively compare new algorithms.
@inproceedings{gisler_appliance_2013,
abstract = {We report on the creation of a database of appliance consumption signatures and two test protocols to be used for appliance recognition tasks. By means of plug-based low-end sensors measuring the electrical consumption at low frequency, typically every 10 seconds, we made two acquisition sessions of one hour on about 100 home appliances divided into 10 categories: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems ({CD} players), lamp ({CFL)}, laptops (via chargers), microwave oven, printers, and televisions ({LCD} or {LED).} We measured their consumption in terms of real power (W), reactive power (var), {RMS} current (A) and phase of voltage relative to current (varphi). We plan to give free access to the database for the whole scientific community. The proposed test protocols will help to objectively compare new algorithms.},
added-at = {2013-03-16T20:39:17.000+0100},
address = {Mazafran, Algiers, Algeria},
author = {Gisler, Christophe and Ridi, Antonio and Zufferey, Damien and Abou Khaled, Omar and Hennebert, Jean},
biburl = {https://www.bibsonomy.org/bibtex/25cc1374326f85173b5a7f5e6ee34e0fb/omar.aboukhaled},
booktitle = {{WOSSPA'13}},
interhash = {757a6ceaa6fbfca884dc15efca0ddcc1},
intrahash = {5cc1374326f85173b5a7f5e6ee34e0fb},
keywords = {imported},
month = may,
timestamp = {2013-03-16T20:39:18.000+0100},
title = {Appliance Consumption Signature Database and Recognition Test Protocols},
year = 2013
}