Abstract:
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.
