Context awareness-based disaggregation of residential load consumption

Jaeyeong Yoo, Byungsung Park, Kyeon Hur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


This paper proposes a practical and accurate algorithm for capturing load information from the raw metering data based on the context awareness, exploiting the dependency of user location from a sensor network on its energy use from a smart meter. Systematic rules have been developed for defining relevant context and for disaggregating the electrical energy consumption (EEC). Details of the algorithm are presented and its efficacy is demonstrated through simulation for residential load consumption. Unlike the existing load monitoring, the proposed method can be easily implemented in a smart meter and can distinguish between two loads even with the same active and reactive power consumptions. The proposed technique is envisioned to help advance the smart metering technology by informing consumers of their energy usage in reference to their behavior and allowing them to economize their energy use.

Original languageEnglish
Title of host publicationProceedings of the 18th IFAC World Congress
PublisherIFAC Secretariat
Number of pages5
Edition1 PART 1
ISBN (Print)9783902661937
Publication statusPublished - 2011

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
ISSN (Print)1474-6670

Bibliographical note

Funding Information:
This work was supported by the Human Resources Development of the Korea Institute of Energy Technology Evaluation and Planning(KETEP) grant funded by the Korea government Ministry of Knowledge Economy (No.20104010100590).

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering


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