Towards using local energy to enhance smart meters privacy

Nowadays, smart meters play a primordial role in the Smart Grid (SG) in order to optimize electricity production, distribution as well as consumption. By exchanging more frequent information between the smart meter and Utility Provider (UP), SG will operate more efficiently with less loss. However, this frequent exchange poses a serious privacy issue which can invade individual privacy since the UP is able to collect a massive amount of smart meter-related data not necessary for billing purposes. In this paper, we propose an efficient sustainable model that uses a local energy to enhance the consumer privacy and reduce his electricity cost at the same time. Moreover, the proposed model is lightweight but also reliable to deal with the low computation capacity of the smart meter. Analytic results prove the efficiency of our model.