Nonintrusive Load Monitoring for Verification and Diagnostics
Reeg, Christopher E.
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https://hdl.handle.net/2142/24016
Description
Title
Nonintrusive Load Monitoring for Verification and Diagnostics
Author(s)
Reeg, Christopher E.
Issue Date
2011-05-25T14:54:32Z
Director of Research (if dissertation) or Advisor (if thesis)
Overbye, Thomas J.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
nonintrusive load monitoring
clustering
power systems
smart grid
Abstract
Nonintrusive 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 approach 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 commercially available devices with capabilities similar to modern smart meters and can provide meaningful feedback to both the user and supplying utility. Limitations of inexpensive commercial devices, such as resolution and measurement sample rate, will be addressed. Using clustering and a Hidden Markov Model approach, data about the state of the devices in a building can be determined. This information can then be used to verify the effectiveness of smart-grid initiatives such as VAr control and demand-side management in addition to other energy-saving measures such as weatherproofing and installing 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.
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