Abstract
In this paper, a Blind-source separation method, i.e. Independent Component Analysis (ICA) is used for disaggregating the substation load profile into different patterns, i.e. residential and commercial groups. The smart meter data from a down town substation has been used. Principle Component Analysis (PCA) is applied for data reduction. Wavelet analysis is used to extract the trend signal from the original load profile as inputs for the ICA routine. Final results verify the effectiveness of this load profile disaggregation approach.
| Original language | English (US) |
|---|---|
| Article number | 6938947 |
| Journal | IEEE Power and Energy Society General Meeting |
| Volume | 2014-October |
| Issue number | October |
| DOIs | |
| State | Published - Oct 29 2014 |
| Externally published | Yes |
| Event | 2014 IEEE Power and Energy Society General Meeting - National Harbor, United States Duration: Jul 27 2014 → Jul 31 2014 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- Blind-source separation
- load modeling
- load profile
- smart meter
- statistic learning