Dynamic threshold algorithm with simplified appliance identification for smart meter privacy

Smart meter is one of the key components of smart power grids. The recent interest of smart meters adoption has created two research directions that are in conflict of each other in terms of data collection and user privacy, i.e. appliance identification from the measurements of smart meters and the privacy compensation for such measurements. This paper proposes a dynamic threshold algorithm (DTA) based on the prediction results from a simplified two-step filtering appliance identification algorithm (AIA) to compensate the smart meter data. The battery capacity required by the proposed DTA to achieve the same privacy level is less than 75% of that required by fixed threshold algorithms. Furthermore, the integration of AIA and DTA provides a possible trade-off method to solve the conflict that advancing the simplified two-step filtering AIA before DTA.