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In recent years, the increasing penetration of Distributed Energy Resources (DERs) has made an impact on the operation of the electric power systems. In the grid integration of DERs, data acquisition systems and communications infrastructure are crucial technologies to maintain system economic efficiency and reliability. Since most of these generators are(More)
In this paper, we propose a privacy-preserving middleware mechanism for managing the massive data flows in smart grids and securing the communications. In our proposed middleware mechanism, we exploit the deep learning techniques and develop a privacy-preserving deep convolutional neural network (DCNN)-based method that leverages the public network(More)
Smart meters are designed to periodically report highly accurate information on power consumption to utility companies, which may lead to serious concerns about consumers. In this paper, we describe a social community-based scheme to preserve the privacy of smart meters. In our scheme, the idea of "community" is proposed which is identified based on social(More)
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