Abstract
In this paper, we present a load disaggregation technique that uses regularized optimization together with harmonic frequency signatures of appliances. The benefits of our technique are twofold: 1) The regularized optimization is faster than integer programming; and 2) The harmonic frequency signatures allow us to disaggregate the loads using as few as 10 cycles (equaling as little as 200 milliseconds) of samples, instead of having to wait for state changes from appliances or weekly usage pattern to emerge. We test our proposed technique in proof-of-concept experiments and show that our technique returns accurate disaggregation results.
| Original language | English (US) |
|---|---|
| Title of host publication | 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 |
| State | Published - Dec 1 2012 |
| Event | 2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 - Hollywood, CA, United States Duration: Dec 3 2012 → Dec 6 2012 |
Publication series
| Name | 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 |
|---|
Other
| Other | 2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 |
|---|---|
| Country | United States |
| City | Hollywood, CA |
| Period | 12/3/12 → 12/6/12 |
Fingerprint
ASJC Scopus subject areas
- Information Systems
Cite this
Load disaggregation using harmonic analysis and regularized optimization. / Chiang, Jerry T.; Zhang, Tianzhu; Chen, Binbin; Hu, Yih Chun.
2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012. 2012. 6411916 (2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Load disaggregation using harmonic analysis and regularized optimization
AU - Chiang, Jerry T.
AU - Zhang, Tianzhu
AU - Chen, Binbin
AU - Hu, Yih Chun
PY - 2012/12/1
Y1 - 2012/12/1
N2 - In this paper, we present a load disaggregation technique that uses regularized optimization together with harmonic frequency signatures of appliances. The benefits of our technique are twofold: 1) The regularized optimization is faster than integer programming; and 2) The harmonic frequency signatures allow us to disaggregate the loads using as few as 10 cycles (equaling as little as 200 milliseconds) of samples, instead of having to wait for state changes from appliances or weekly usage pattern to emerge. We test our proposed technique in proof-of-concept experiments and show that our technique returns accurate disaggregation results.
AB - In this paper, we present a load disaggregation technique that uses regularized optimization together with harmonic frequency signatures of appliances. The benefits of our technique are twofold: 1) The regularized optimization is faster than integer programming; and 2) The harmonic frequency signatures allow us to disaggregate the loads using as few as 10 cycles (equaling as little as 200 milliseconds) of samples, instead of having to wait for state changes from appliances or weekly usage pattern to emerge. We test our proposed technique in proof-of-concept experiments and show that our technique returns accurate disaggregation results.
UR - http://www.scopus.com/inward/record.url?scp=84874430743&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874430743&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84874430743
SN - 9780615700502
T3 - 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
BT - 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
ER -