<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T09:09:47Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/119597" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/119597</identifier><datestamp>2026-06-06T00:55:58Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Steven B. Leeb and John S. Donnal.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Aboulian, Andre</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-12-11T21:07:53Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-12-11T21:07:53Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/119597</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1076272162</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 94-99).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">A non-intrusive load monitor (NILM) measures power at a central point in an electrical system to monitor the operation of many connected loads. Non-contact power meters sense the electromagnetic fields surrounding a cable and reconstruct the currents in each conductor. This thesis presents a novel calibration method for determining the relationship between fields and currents for a new meter by using an existing meter elsewhere within the distribution network. A complex software pipeline captures, processes, and stores NILM data. Analysis tools are often not directly available to operators of mission-critical systems. An analytical and graphical platform is developed that provides diagnostic and prognostic information about equipment in real time to maintainers of electromechanical systems.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Andre Aboulian.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">290 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Innovations in non-intrusive load monitoring</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>Innovations in non-intrusive load monitoring&lt;/Title>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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        	&lt;DisplayName>Aboulian, Andre&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>A non-intrusive load monitor (NILM) measures power at a central point in an electrical system to monitor the operation of many connected loads. Non-contact power meters sense the electromagnetic fields surrounding a cable and reconstruct the currents in each conductor. This thesis presents a novel calibration method for determining the relationship between fields and currents for a new meter by using an existing meter elsewhere within the distribution network. A complex software pipeline captures, processes, and stores NILM data. Analysis tools are often not directly available to operators of mission-critical systems. An analytical and graphical platform is developed that provides diagnostic and prognostic information about equipment in real time to maintainers of electromechanical systems.&lt;/Abstract>
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