Load Disaggregation Based on Aided Linear Integer Programming

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Faculty/Staff
Final version 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

Date created: 
2016
Identifier: 
DOI: 10.1109/TCSII.2016.2603479
Keywords: 
Circuits and systems
Home appliances
IP networks
Linear programming
Smart meters
Steady-state
Transient analysis
Integer programming
NILM
Combinatorial optimization
Load disaggregation
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.

Language: 
English
Document type: 
Article
Rights: 
Rights remain with the authors.
File(s): 
Sponsor(s): 
Natural Sciences and Engineering Research Council of Canada (NSERC)
Statistics: