Battery-aided privacy preservation of household electricity load profiles under time-of-use tariffs. (November 2022)

• Record Type: Journal Article
• Authors: Zhu, Mao; Luo, Xi; Li, Zhiyi; Wan, Can
• Is Part Of: Energy reports. Volume 8(2022)Supplement 8
• Page Start: 437
• Page End: 448
• Publication Date: 2022-11
• Subjects: Differential privacy -- Contextual multi-armed bandits -- Cost-saving -- Smart meter data -- Energy storage; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2022.09.148
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: Collecting fine-grained data on electricity usage can reduce the user's energy cost by accurate demand response and improve the services from utilities. However, non-intrusive power load monitoring (NILM) technology shows that these data will reveal the user's privacy. In this paper, we first design a price-sensitive BLH scheme which achieves differential privacy. Then regarding such issues above, we propose a price-sensitive cost-friendly differential privacy (PCDP) scheme through a contextual multi-armed bandit framework. Last, realistic electricity consumption data is extracted to validate the proposed method. The results show that our method provides effective privacy protection and achieve considerable cost saving.