Applied lightweight parallel multi-appliance recognition on smart meter

Chin-Feng Lai, Man Lin, Yonggang Wen, Yi Wei Ma, Jiann Liang Chen

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

3 Citations (Scopus)

Abstract

With the crisis of uprising energy, smart meter development has gained a lot of attention. Along with the popularization of Internet of Things (IoT) and home energy management system, users can identify the electronic device being used with the help of electronic appliance recognition technology in order to improve power usage habits. However, there is a difficulty in multiple electronic appliance recognition which poses as a problem since multiple appliances switching on and off is common in everyday life. Hence this study will discuss simultaneous multi-electronic appliance recognition. Another issue in smart meter development is the difficulty in installation. This study solves this problem by proposing a non-invasive smart meter device that also studies the user power usage habits in cases where users are unfamiliar with electronic devices. The system also solves the large data volume processing problem of the current appliance recognition system using a database mechanism, electronic appliance recognition classification, as well as waveform recognition. Other electronic appliance recognition may be power consuming, while this system uses low power low order embedded system chip with high expandability and convenience. Different from past studies, this research considers simultaneous multi-electronic appliance recognition and power usage habits of normal users. The experimental results showed that the total system recognition rate can reach 86.14% with the general daily power usage habits, and the total recognition rate of a single electronic appliance can reach 96.14%, thus proving the feasibility of the proposed system.

Original languageEnglish
Title of host publicationProceedings - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012
Pages361-366
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 1
Event15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012 - Paphos, Cyprus
Duration: 2012 Dec 52012 Dec 7

Publication series

NameProceedings - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012

Other

Other15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012
CountryCyprus
CityPaphos
Period12-12-0512-12-07

All Science Journal Classification (ASJC) codes

  • Software

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  • Cite this

    Lai, C-F., Lin, M., Wen, Y., Ma, Y. W., & Chen, J. L. (2012). Applied lightweight parallel multi-appliance recognition on smart meter. In Proceedings - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012 (pp. 361-366). [6417316] (Proceedings - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012). https://doi.org/10.1109/ICCSE.2012.57