Smart meters enable a variety of new and useful applications for achieving a smart grid.
Unfortunately, they also pose privacy risks by revealing sensitive information about
consumers. In this work, techniques that exploit the benefits of smart meters and at the same
time mitigate privacy risks are explored. More specifically, we consider the control of local
energy storage devices of a group of consumers with the goal of minimizing energy cost and
providing aggregate load smoothing to the grid. A differentially private distributed model …