论文标题
使用能量分解从智能电表数据中识别电视频道观看
Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation
论文作者
论文摘要
智能电表用于测量家庭的能耗。具体而言，在能源消耗任务中，智能电表已用于负载预测，减少消费账单以及减少电网扭曲。除了能源消耗智能电表外，还可以使用设备级别分解能源消耗。在本文中，我们研究了使用中央屋的智能电表来识别电视或监视器设备所播放的多媒体内容的潜力，从而测量了家庭所有工作设备的总能源消耗。所提出的体系结构基于与20个参考电视信号信号的聚合能量信号帧的弹性匹配。使用MVM算法，使用了最佳实现的视频内容识别精度为93.6％的不同弹性匹配算法。
Smart meters are used to measure the energy consumption of households. Specifically, within the energy consumption task smart meter have been used for load forecasting, reduction of consumer bills as well as reduction of grid distortions. Except energy consumption smart meters can be used to disaggregate energy consumption on device level. In this paper we investigate 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 is based on elastic matching of aggregated energy signal frames with 20 reference TV channel signals. Different elastic matching algorithms were used with the best achieved video content identification accuracy being 93.6% using the MVM algorithm.
