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Energy disaggregation using ensemble of classifiers
conference contribution
posted on 2023-05-24, 16:01 authored by Shahriar, S, Rahman, AWe 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
ProceedingsEditors
S MozarPagination
161-164ISBN
978-1-4673-6349-5Department/School
School of Information and Communication TechnologyPublisher
IEEEPlace of publication
Piscataway, United StatesEvent title
IEEE 2013 Tencon - SpringEvent Venue
Sydney, AustraliaDate of Event (Start Date)
2013-04-17Date of Event (End Date)
2013-04-19Repository Status
- Restricted