Hardware and software architecture for non-contact, non-intrusive load monitoring
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1721.1/105989 |
| _version_ | 1811095981527138304 |
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| author | Lawrence, David M |
| author2 | Steven B. Leeb and John S. Donnal. |
| author_facet | Steven B. Leeb and John S. Donnal. Lawrence, David M |
| author_sort | Lawrence, David M |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T16:36:26Z |
| format | Thesis |
| id | mit-1721.1/105989 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T16:36:26Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1059892019-04-12T17:11:41Z Hardware and software architecture for non-contact, non-intrusive load monitoring Lawrence, David M Steven B. Leeb and John S. Donnal. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 76-77). 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. by David Lawrence. M. Eng. 2016-12-22T15:17:38Z 2016-12-22T15:17:38Z 2016 2016 Thesis http://hdl.handle.net/1721.1/105989 965796231 eng 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. http://dspace.mit.edu/handle/1721.1/7582 121 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Lawrence, David M Hardware and software architecture for non-contact, non-intrusive load monitoring |
| title | Hardware and software architecture for non-contact, non-intrusive load monitoring |
| title_full | Hardware and software architecture for non-contact, non-intrusive load monitoring |
| title_fullStr | Hardware and software architecture for non-contact, non-intrusive load monitoring |
| title_full_unstemmed | Hardware and software architecture for non-contact, non-intrusive load monitoring |
| title_short | Hardware and software architecture for non-contact, non-intrusive load monitoring |
| title_sort | hardware and software architecture for non contact non intrusive load monitoring |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/105989 |
| work_keys_str_mv | AT lawrencedavidm hardwareandsoftwarearchitecturefornoncontactnonintrusiveloadmonitoring |