Discover the fingerprint of electrical appliance: Online appliance behavior learning and detection in smart homes

Meng Ma, Weilan Lin, Jingbin Zhang, Ping Wang, Yuchen Zhou, Xiaoxing Liang

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

Abstract

Energy efficiency is becoming a challenging issue due to dramatically increasing demands. Sensing disaggregation and identification of individual electrical appliances from consumption measurements is the key to achieve the energy awareness and efficiency in smart buildings. Less intelligent approaches do not sufficiently take into account a variety of heterogeneous information sources and context knowledge to establish a continuous learning and optimizing ability. In this paper, we propose a lightweight smart home appliance behavior learning and detection system, and elaborate its data mining and behavior learning algorithms. The main contribution of this paper are twofold: first, we propose the concept of appliance fingerprint and propose a variety of appliance-based and context-based fingerprints. Second, we propose a multi-source fingerprint-weighting KNN (FWKNN) classification algorithm and present a boosting framework for continuous online learning and detection. We implement the system architecture and demonstrate a prototype based on IBM Bluemix PaaS cloud platform. Experimental result and analysis prove that FWKNN outperforms other benchmark method in detection accuracy.

Original languageEnglish
Title of host publication2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781538604342
DOIs
StatePublished - 26 Jun 2018
Externally publishedYes
Event2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - San Francisco, United States
Duration: 4 Apr 20178 Apr 2017

Publication series

Name2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings

Conference

Conference2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Country/TerritoryUnited States
CitySan Francisco
Period4/04/178/04/17

Keywords

  • appliance load monitoring
  • behavior learning
  • classification
  • fingerprint extraction
  • internet of things
  • smart home

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