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Energy disaggregation using ensemble of classifiers

conference contribution
posted on 2023-05-24, 16:01 authored by Shahriar, S, Rahman, A
We study an approach towards energy disaggregation using ensemble of classifiers, a supervised machine learning method. Specifically we identify different appliance loads from the aggregated power usage data. Experimental results on a public data sets show the accuracy of ensemble of classifiers using diverse features in identifying appliance loads.

History

Publication title

Proceedings

Editors

S Mozar

Pagination

161-164

ISBN

978-1-4673-6349-5

Department/School

School of Information and Communication Technology

Publisher

IEEE

Place of publication

Piscataway, United States

Event title

IEEE 2013 Tencon - Spring

Event Venue

Sydney, Australia

Date of Event (Start Date)

2013-04-17

Date of Event (End Date)

2013-04-19

Repository Status

  • Restricted

Socio-economic Objectives

Other information and communication services not elsewhere classified

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