Load Disaggregation Based on Aided Linear Integer Programming

Resource type
Date created
2016
Authors/Contributors
Abstract
Load disaggregation based on aided linear integer programming (ALIP) is proposed. We start with a conventional linear integer programming (IP) based disaggregation and enhance it in several ways. The enhancements include additional constraints, correction based on a state diagram, median filtering, and linear programming-based refinement. With the aid of these enhancements, the performance of IP-based disaggregation is significantly improved. The proposed ALIP system relies only on the instantaneous load samples instead of waveform signatures, and hence works well on low-frequency data. Experimental results show that the proposed ALIP system performs better than conventional IP-based load disaggregation.
Document
Identifier
DOI: 10.1109/TCSII.2016.2603479
Published as
M. Z. Ali Bhotto; S. Makonin; I. Bajic, "Load Disaggregation Based on Aided Linear Integer Programming," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 64, no. 7, pp.792-796, Jul. 2017. http://doi.org/10.1109/TCSII.2016.2603479
Publication title
EEE Transactions on Circuits and Systems II: Express Briefs
Document title
Load Disaggregation Based on Aided Linear Integer Programming
Date
2017
Volume
64
Issue
7
First page
792
Last page
796
Publisher DOI
10.1109/TCSII.2016.2603479
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
Member of collection
Attachment Size
07553570.pdf 869.96 KB