Load Disaggregation Based on Aided Linear Integer Programming

Today I found out that a journal paper I helped co-author with colleagues Md. Zulfiquar Ali Bhotto and Ivan V. Bajić. Titled Load Disaggregation Based on Aided Linear Integer Programming it will be published in journal IEEE Transactions on Circuits and Systems II: Express Briefs. Here is the paper 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.

Keywords: Integer programming, combinatorial optimization, linear programming, load disaggregation, NILM

Source code for this project is available on GitHub.

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