Algorithm development for non-intrusive load monitoring for verification and diagnostics

Christopher E. Reeg, Thomas J. Overbye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Non-intrusive load monitoring (NILM) is a method of detecting the current energy consumption of a building using a single set of sensors on the main building supply. This is in contrast to intrusive monitoring where end use devices are sensed. Building on techniques of previous works, it will be shown that NILM can be implemented on currently available commercial devices and provide meaningful feedback both to the user and supplying utility. Limitations of inexpensive commercial devices such as resolution and measurement accuracy are a challenge. An algorithm currently under development, specifically developed for the low resolution of inexpensive commercial sensor packages, will be discussed and demonstrated. This information can then be used to verify the effectiveness of various smart grid initiatives in addition to other energy saving protocols such as weather proofing and energy efficient appliances. In addition, this information can be used to select devices for distributed control by analyzing not only the type of device but also the real world operating characteristics.

Original languageEnglish (US)
Title of host publicationNorth American Power Symposium 2010, NAPS 2010
DOIs
StatePublished - 2010
Externally publishedYes
EventNorth American Power Symposium 2010, NAPS 2010 - Arlington, TX, United States
Duration: Sep 26 2010Sep 28 2010

Publication series

NameNorth American Power Symposium 2010, NAPS 2010

Other

OtherNorth American Power Symposium 2010, NAPS 2010
Country/TerritoryUnited States
CityArlington, TX
Period9/26/109/28/10

Keywords

  • Load management
  • Pattern matching
  • Power system measurements
  • Power system monitoring

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

Fingerprint

Dive into the research topics of 'Algorithm development for non-intrusive load monitoring for verification and diagnostics'. Together they form a unique fingerprint.

Cite this