A user demand and preference profiling method for residential energy management

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

2 Scopus citations

Abstract

The home appliance scheduling is a promising energy saving technique that has significant commercial potential. In this paper, a novel method is proposed to profile user demand and preference for residential energy management. Non-Intrusion Load Monitoring (NILM) is applied to identify user operations on each appliance. The operations are integrated with dynamic electric price and environment data to mine users' personal demand and preference on various devices. Finally, the personalized scheduling strategy is generated to meet the different users' demands at the minimal cost. The major contributions of this paper are: 1) NILM is an low-cost and easy-accept solution to profile users' demand, since power meters have been widely deployed and power consumption data are less privacy-related. 2) Five preference indexes are firstly introduced, which can dramatically improve the user's satisfaction on scheduling strategies.

Original languageEnglish
Title of host publicationUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages911-918
Number of pages8
ISBN (Electronic)9781450330473
DOIs
StatePublished - 2014
Event2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
Duration: 13 Sep 201417 Sep 2014

Publication series

NameUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Conference

Conference2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
Country/TerritoryUnited States
CitySeattle
Period13/09/1417/09/14

Keywords

  • Energy saving
  • Non-intrusion load monitoring
  • Personalized scheduling
  • Ubiquitous computing
  • User preference

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