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dc.contributor.advisorSteven B. Leeb.en_US
dc.contributor.authorPonce, Eric(Eric A.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2019-11-22T00:03:29Z
dc.date.available2019-11-22T00:03:29Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123033
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 167-171).en_US
dc.description.abstractNon-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.en_US
dc.description.statementofresponsibilityby Eric Ponce.en_US
dc.format.extent171 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT 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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleNon-intrusive load monitoring for existing water and natural gas metering infrastructureen_US
dc.title.alternativeNILM for existing water and natural gas metering infrastructureen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1127650122en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2019-11-22T00:03:27Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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