The Disaggregation Algorithm in Nonintrusive Load Monitoring

AUTHORS

Chuleui Hong,Department of Human Intelligence Information Science, Sangmyung University, Seoul, 110-743, Korea

ABSTRACT

The nonintrusive load monitoring on individual household appliances by using energy dis-aggregation algorithm is a technique to infer the energy consumption of each appliance by analyzing the changes in power supplied to the household. The technology presented in this study provides consumers with energy-saving methods such as standby power cut-off, device abnormality, and purchase of power-saving products by informing consumers of the energy use and time zones for each electric appliances. In this paper, the real and reactive power quantities are measured from the total amount of power used, and compare them with the previously saved power signature of each household electric device to identify the devices that are being used. In this experiment, the disaggregation accuracy showed good performance at 95.3% on five appliances and seven electric devices.

 

KEYWORDS

Appliances Identification, Disaggregation, NILM, Real and Reactive Power

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CITATION

  • APA:
    Hong,C.(2019). The Disaggregation Algorithm in Nonintrusive Load Monitoring. Asia-Pacific Journal of Advanced Research in Electrical and Electronics Engineering, 3(1), 7-12. 10.21742/AJAEEE.2019.3.1.02
  • Harvard:
    Hong,C.(2019). "The Disaggregation Algorithm in Nonintrusive Load Monitoring". Asia-Pacific Journal of Advanced Research in Electrical and Electronics Engineering, 3(1), pp.7-12. doi:10.21742/AJAEEE.2019.3.1.02
  • IEEE:
    [1] C.Hong, "The Disaggregation Algorithm in Nonintrusive Load Monitoring". Asia-Pacific Journal of Advanced Research in Electrical and Electronics Engineering, vol.3, no.1, pp.7-12, Nov. 2019
  • MLA:
    Hong Chuleui. "The Disaggregation Algorithm in Nonintrusive Load Monitoring". Asia-Pacific Journal of Advanced Research in Electrical and Electronics Engineering, vol.3, no.1, Nov. 2019, pp.7-12, doi:10.21742/AJAEEE.2019.3.1.02

ISSUE INFO

  • Volume 3, No. 1, 2019
  • ISSN(p):2207-449X
  • ISSN(e):2207-4503
  • Published:Nov. 2019

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