<?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>2026-09-18T20:53:33Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/105989" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/105989</identifier><datestamp>2026-06-06T00:56:13Z</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">Lawrence, David M</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">2016-12-22T15:17:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2016-12-22T15:17:38Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/105989</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">965796231</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, 2016.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 76-77).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The non-intrusive load monitor measures voltage and current in a single power line that supplies electricity to multiple devices. Signal processing algorithms are then used to separate the summed power usage into the individual power usage of each device. This thesis presents three new developments: a hardware architecture that measures the electromagnetic fields surrounding a multi-conductor cable, calibration methods to noninvasively determine a mapping from the sensed fields to power transmission, and a software framework that enables efficient real-time processing of data gathered by the new electromagnetic field sensors.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by David Lawrence.</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">121 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">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about 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">Hardware and software architecture for non-contact, non-intrusive load monitoring</dim:field>
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   	&lt;Title>Hardware and software architecture for non-contact, non-intrusive load monitoring&lt;/Title>
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   	&lt;PublicationDate>2016&lt;/PublicationDate>
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        	&lt;DisplayName>Lawrence, David M&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>The non-intrusive load monitor measures voltage and current in a single power line that supplies electricity to multiple devices. Signal processing algorithms are then used to separate the summed power usage into the individual power usage of each device. This thesis presents three new developments: a hardware architecture that measures the electromagnetic fields surrounding a multi-conductor cable, calibration methods to noninvasively determine a mapping from the sensed fields to power transmission, and a software framework that enables efficient real-time processing of data gathered by the new electromagnetic field sensors.&lt;/Abstract>
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