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Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation

Authors :
Pascal A. Schirmer
Iosif Mporas
Akbar Sheikh-Akbari
Source :
Energies, Vol 14, Iss 9, p 2485 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Smart meters are used to measure the energy consumption of households. Specifically, within the energy consumption task, a smart meter must be used for load forecasting, the reduction in consumer bills as well as the reduction in grid distortions. Smart meters can be used to disaggregate the energy consumption at the device level. In this paper, we investigated the potential of identifying the multimedia content played by a TV or monitor device using the central house’s smart meter measuring the aggregated energy consumption from all working appliances of the household. The proposed architecture was based on the elastic matching of aggregated energy signal frames with 20 reference TV channel signals. Different elastic matching algorithms, which use symmetric distance measures, were used with the best achieved video content identification accuracy of 93.6% using the MVM algorithm.

Details

Language :
English
ISSN :
19961073
Volume :
14
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Energies
Publication Type :
Academic Journal
Accession number :
edsdoj.26cebf12c814f11a7fea0344d34352c
Document Type :
article
Full Text :
https://doi.org/10.3390/en14092485