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An Appliance Load Disaggregation Scheme Using Automatic State Detection Enabled Enhanced Integer Programming
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DOI：10.1109/TII.2020.2975810.png)
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Abstract
En 中文
Measuring the power consumption of individual household appliance is an essential task for home energy management and demand response programmes. To this end, this article proposes a simple yet effective, two-stage nonintrusive appliance load monitoring scheme. A standard deviation based automatic state detection algorithm is developed in stage-1, which results in the information about states and the transient spans of individual appliances. In stage-2 of the proposal, a penalty-based enhanced integer programming (IP) based load disaggregation method is proposed. The efficacy of the proposed method is initially verified with the reference energy disaggregation data dataset and, then, tested on an actual residential house. Various test results reveal that the proposed enhanced IP-based method is an effective and less complex solution to load disaggregation problem.
Keywords:
Home appliances
Power demand
Monitoring
IP networks
Linear programming
Sensors
Transient analysis
Automatic state detection
energy management programmes
integer programming
load disaggregation
nonintrusive load monitoring
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