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Household load hiding is a customer-oriented approach to avoid possible privacy leakage from electricity-consumption data reported by smart meters. The basic idea is that customers can actively distort their consumption profile using energy storage devices. In this paper, we propose a practical design framework for an electric vehicle (EV)-assisted battery load hiding method to improve privacy as...
The transition from electromechanical to advanced smart meters offers great opportunities in load management, energy saving, and resource optimization. However, the fine-grained usage data collected by the smart meters also raises privacy concerns. The household load profile can be analyzed by non-intrusive load monitoring techniques to infer customer activity routines and behavioral preference. Several...
This paper investigates the problem of placement of data aggregation points (DAPs) in advanced metering infrastructures (AMIs). The specific constraints are that DAPs are to be located on utility poles and that communication is done over wireless links. While the resulting optimization problem is an integer program, we propose to adapt the K-means algorithm to obtain an efficient and less-complex...
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