Interpreting human activity from electrical consumption data through non-intrusive load monitoring

Interpreting human activity from electrical consumption data through non-intrusive load monitoring

Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. === 50 === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 155-160). === Non-intrusive load monitoring (NILM) has three distinct advantages over...

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Bibliographic Details
Main Author: Gillman, Mark Daniel
Other Authors: Steven B. Leeb and John S. Donnal.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2014
Subjects:
Electrical Engineering and Computer Science.
Online Access:http://hdl.handle.net/1721.1/90136

Internet

http://hdl.handle.net/1721.1/90136

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