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Occupancy Detection from Electricity Consumption Data
Kleiminger, Wilhelm; Beckel, Christian; Staake, Thorsten; u. a. (2013): Occupancy Detection from Electricity Consumption Data, in: BuildSys’13: Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, New York, NY, USA: ACM, S. 1–8, doi: 10.1145/2528282.2528295.
Faculty/Chair:
Author:
Title of the compilation:
BuildSys'13: Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
Corporate Body:
5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
BuildSys'13
Publisher Information:
Year of publication:
2013
Pages:
ISBN:
978-1-4503-2431-1
Language:
English
Abstract:
Detecting when a household is occupied by its residents is fundamental to enable a number of home automation applications. Current systems for occupancy detection usually require the installation of dedicated sensors, like passive infrared sensors, magnetic reed switches, or cameras. In this paper, we investigate the suitability of digital electricity meters -- which are already available in millions of households worldwide -- to be used as occupancy sensors. To this end, we have collected fine-grained electricity consumption data along with ground-truth occupancy information for 5 households during a period of about 8 months. Our results show that using common classification methods it is possible to achieve occupancy detection accuracies of more than 80%.
Type:
Conferenceobject
Activation date:
April 22, 2014
Permalink
https://fis.uni-bamberg.de/handle/uniba/3176