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

arXiv: https://arxiv.org/abs/2007.00326 · HTML: https://mlsanity.com/paper/2007.00326/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Jul 2020.

## Built on by (most cited first, 2 of 2)

- [Machine Learning Approaches for Non-Intrusive Home Absence Detection Based on Appliance Electrical Use](https://mlsanity.com/paper/2203.16538/) (2022)
- [On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks](https://mlsanity.com/paper/2307.10209/) (2023)

## Abstract (arXiv)

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.