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

被引:6
|
作者
Schirmer, Pascal A. [1 ]
Mporas, Iosif [1 ]
Sheikh-Akbari, Akbar [2 ]
机构
[1] Univ Hertfordshire, Sch Engn & Comp Sci, Commun Intelligent Syst Grp, Hatfield AL10 9AB, Herts, England
[2] Leeds Beckett Univ, Sch Built Environm, Engn & Comp, Leeds LS1 3HE, W Yorkshire, England
关键词
video content identification; smart meters; load disaggregation; OPTIMIZATION; PREDICTION; ALGORITHM; DEMAND; MODEL;
D O I
10.3390/en14092485
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:16
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