Masters Theses

Paulomi Nandy

Keywords and Phrases

Non-Intrusive Load Monitoring (NILM)

Abstract

"This work presents a residential appliance disaggregation technique to help achieve the fundamental goal in Non-Intrusive Load Monitoring (NILM) problem i.e. simple breakdown of energy consumption based on the appliance type in a household. The appliances are modeled using Hidden Markov Model by utilizing both their active and reactive power consumption data. The data was recorded by attaching Power Standards Lab PQube measurement device to the appliances. Granularity of the power readings of the disaggregated appliance matches with that of the reading collected for individual device. The accuracy of the model is compared with other models developed using only active power consumption of the appliances. The results using the proposed method are more effective and are found to predict a better output sequence for the appliances compared to model using only active power for modeling loads"--Abstract, page iii.

Advisor(s)

Kimball, Jonathan W.

Committee Member(s)

Ferdowsi, Mehdi
Pernicka, Hank

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Sponsor(s)

National Science Foundation (U.S.)

Comments

This work was funded in part by the National Science Foundation under award 1406156.
Table of Contents pages are not numbered (two pages between iv and v)

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2016

Pagination

vii, 43 pages

Note about bibliography

Includes bibliographical references (pages 41-42).

Rights

© 2016 Paulomi Nandy

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Household appliances, Electric -- Energy consumption -- Computer simulation
Hidden Markov models
Energy consumption -- Measurement

Thesis Number

T 11044

Electronic OCLC #

974715628

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