The smart meter (SM) privacy problem is addressed together with the cost of\nenergy for the user. It is assumed that a storage device, e.g., an electrical\nbattery, is available to the user, which can be utilized both to achieve\nprivacy and to reduce the energy cost by modifying the energy consumption\nprofile. Privacy is measured via the mean squared-error between the SM\nreadings, which are reported to the utility provider (UP), and a target load;\nwhile time-of-use pricing is considered for energy cost calculation. The\noptimal trade-off between the achievable privacy and the energy cost is\ncharacterized by taking into account the limited capacity of the battery as\nwell as the capability to sell energy to the UP. Extensive numerical\nsimulations are presented to evaluate the performance of the proposed strategy\nfor different system settings.\n
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