Nonintrusive identification of residential appliances using harmonic   analysis

Srdjan DJORDJEVIC; Milan SIMIC

Article Details

Nonintrusive identification of residential appliances using harmonic analysis

Authors:

Srdjan DJORDJEVIC | Milan SIMIC

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 2, pp.780-791

Document Type:

Article

Publication Date:

3/2018

Document Language:

Turkish

Document ID (Org No.):

2000735247

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

The role of nonintrusive load monitoring (NILM) is to   identify the operating schedules of individual appliances and their power   consumption from single-point electrical measurements. This paper discusses   appliance load monitoring based on the harmonic analysis of the steady-state   current, which is specifically suited for identification of nonlinear   appliances. The existing harmonic-based NILM methods have limited   applicability due to the fact that their complexity increases exponentially   with the number of target appliances. In order to overcome this problem,   this study suggests the use of the step changes of current harmonic phasors   as a feature for appliance detection. The key benefit of the proposed method   is that only individual appliance signatures are needed to identify load   activities, as opposed to the previous NILM methods that require load   signatures with respect to all possible appliance combinations.

Article Details

Nonintrusive identification of residential appliances using harmonic analysis

Authors: Srdjan DJORDJEVIC | Milan SIMIC

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 2, pp.780-791

Document Type: Article

Publication Date: 3/2018

Document Language: Turkish

Document ID (Org No.): 2000735247

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Srdjan DJORDJEVIC | Milan SIMIC

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 2, pp.780-791

Document Type:

Article

Publication Date:

3/2018

Document Language:

Turkish

Document ID (Org No.):

2000735247

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632