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Non-intrusive load monitoring for existing water and natural gas metering infrastructure

Author(s)
Ponce, Eric(Eric A.)
Thumbnail
Download1127650122-MIT.pdf (3.933Mb)
Alternative title
NILM for existing water and natural gas metering infrastructure
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Steven B. Leeb.
Terms of use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Non-intrusive load monitoring (NILM) involves measuring power transfer or resource flow upstream from several independent loads and disaggregating the information into separate loads, trading hardware installation complexity for advanced signal processing. Non-contact NILM devices avoid direct connections to the grid or network, instead leveraging physical properties of the grid or existing meter to extract load information. This thesis presents an improved model for the rotating magnetic field produced by positive displacement water meters, new methods and non-contact hardware for non-intrusively extracting flow from these and bellows-and-diaphragm natural gas meters, and signal processing techniques for reconstructing flow from measured data to enable cheap and easy retrofit of existing metering infrastructure for NILM.
Description
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 167-171).
 
Date issued
2019
URI
https://hdl.handle.net/1721.1/123033
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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