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dc.contributor.advisorSteven B. Leeb and John S. Donnal.en_US
dc.contributor.authorLawrence, David Men_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2016-12-22T15:17:38Z
dc.date.available2016-12-22T15:17:38Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/105989
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.en_US
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.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 76-77).en_US
dc.description.abstractThe 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.en_US
dc.description.statementofresponsibilityby David Lawrence.en_US
dc.format.extent121 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleHardware and software architecture for non-contact, non-intrusive load monitoringen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc965796231en_US


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