A hybrid approach for intrusive appliance load monitoring in smart home

Vanh Khuyen Nguyen, Minh Hieu Phan, Wei Emma Zhang, Quan Z. Sheng, Trung Duc Vo

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Appliance Load Monitoring (ALM) has become a crucial task in energy sector since the residential loads have been ever-increasing in the recent years. Several studies have been undertaken to monitor energy consumption of household appliances while also analyze the power data to obtain more useful insights of consumers' behaviors. The remaining challenge of the recent approaches is automatic appliance recognition. In this work, we propose a novel hybrid method which includes two main processes, namely the feature importance process and the appliance identification process. In the first phase, feature importance process extracts the temporal trends. We then replace the classification layer of Convolutional Neural Network (CNN) by the SVM classifier; thereby achieving a set of important features which is data input for the next phase. After that, we set the CNN's weights based on the analyzed feature importance of SVM, instead of initializing weights randomly. As a result, the proposed method of this study outperformed other approaches with more than 90% for both of accuracy and macro F1-score.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020
Place of PublicationLos Alamitos, California
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages154-160
Number of pages7
ISBN (Electronic)9781728165141
DOIs
Publication statusPublished - 2020
Event4th IEEE International Conference on Smart Internet of Things, SmartIoT 2020 - Beijing, China
Duration: 14 Aug 202016 Aug 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020

Conference

Conference4th IEEE International Conference on Smart Internet of Things, SmartIoT 2020
CountryChina
CityBeijing
Period14/08/2016/08/20

Keywords

  • Appliance Load Monitoring
  • Convolutional Neural Network
  • Support Vector Machine
  • Internet of Things

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