At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line (Nominated for the Best Paper Award)

By Shwetak N. Patel, Thomas Robertson, Julie A. Kientz, Matthew S. Reynolds, Gregory D. Abowd. Ubiquitous Computing, 2007

504 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4129f632822668ae352cdf66566905abf2af2100

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In Computer Vision and Pattern Recognition

In Electrical and Electronic Engineering

Citations in the corpus

Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey (2012, background): “High Frequency Sampling of Voltage Noise [11,31] Noise FFT Multi-state devices, consumer Electronics with SMPS Appliance specific, computationally expensive, Data annotation is very hard”
ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home (2010, methodology): “[15] introduced a single-point sensing method for automatically identifying the usage of resistive and inductive electrical loads.”
The smart thermostat: using occupancy sensors to save energy in homes (2010, background): “An alternative to motion sensors would be to sense the home’s electrical and mechanical systems to detect occupancy [28, 29, 30], although the effect of these systems on cost and the ability to quickly and reliably detect home occupancy has not been demonstrated.”
Private memoirs of a smart meter (2010, background): “[21] use individual traces from USB oscilloscopes to disambiguate power traces of particular appliances.”
Nonintrusive appliance load monitoring: Review and outlook (2011, background): “have criticized their previous work [29], stating such problems as the computational expense of capturing and analyzing transient noise, the necessity for training for each household device and the dependence of the obtained signatures on household wiring.”
Energy Disaggregation via Discriminative Sparse Coding (2010, background): “…was turned on or off; later work focused on computing harmonics of steady-state power or current draw to determine more complex device signatures [16] [14] [25] [2]; recently, researchers have analyzed the transient noise of an electrical circuit that occurs when a device changes state [15] [21].”
REDD : A Public Data Set for Energy Disaggregation Research (2011, background): “Past work has spanned a broad range in terms of the frequency of energy measurements used for disaggregation: some work has used average power measurements over periods as long as an hour [8], while others have analyzed the harmonics of AC waveforms using Mhz resolutions [14] [5].”
Is disaggregation the holy grail of energy efficiency? The case of electricity (2013, background): “…electricity is the focus of the rest of this paper, the use of disaggregation for other energy-related applications is also promising (i.e., gas, water, and transportation) 22 (Yamagami, Nakamura, Meier, 1996; Cohn et al., 2010; Patel et al., 2007; Larson et al., 2010; Froehlich et al., 2009a,b).”
Unsupervised Disaggregation of Low Frequency Power Measurements (2011, background): “To address this, they developed a sensor that can be installed by the end user [34].”