ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home
By Sidhant Gupta, Matthew S. Reynolds, Shwetak N. Patel. Ubiquitous Computing, 2010
513 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/0924f9c2f4d6eea7905d75070af40960efaeb330
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Muhammad Ali Imran
- J. Kolter
- Kurt Roth
- Michael Zeifman
- Sutharshan Rajasegarar
- Tommi S. Jaakkola
- H. S. Anderson
- David A. Sontag
In Electrical and Electronic Engineering
- Muhammad Ali Imran
- Christian Beckel
- Silvia Santini
- Thorsten Staake
- Ahmed Zoha
- Alexander D. Gluhak
- Sutharshan Rajasegarar
- J. Kolter
Citations in the corpus
- Nonintrusive appliance load monitoring: Review and outlook (2011, methodology): “Third, overlaps between the EMI signatures are inevitable, and it is unclear how the authors of [30] will address this problem.”
- Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation (2012, background): “(Ziefman and Roth, 2011) for a recent survey) it has largely focused simply upon classifying electrical events; early work looked only at power signals along with finite state machine models, (Hart, 1992), while later work has incorporated transient and harmonic information from very high-frequency ”
- The ECO data set and the performance of non-intrusive load monitoring algorithms (2014, background): “[13], for instance, developed the algorithm ElectriSense, which detects consumer electronics devices and fluorescent lighting by their electromagnetic interference generated during operation.”
- 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].”
- Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey (2012, background): “Steady-state Voltage Noise [11,42] EMI signatures Motor-based appliances are easily distinguishable as they generate synchronous voltage noise, Detection of simultaneous activation events, Consumer appliances equipped with SMPS can be recognized with high accuracy Sensitive to wiring architecture, E”