Transparent Electricity Pricing with Privacy

Smart grids leverage data from smart meters to improve operations management and achieve cost reductions. The fine-grained meter also enable pricing schemes that simultaneously benefit electricity retailers users. Our goal is design a practical dynamic protocol for in which the rate charged by retailer depends on total demand among its Realizing this challenging because neither nor users are trusted. first challenge scheme incentivizes consumption behavior leads lower costs both retailer. second prevent tampering with data, example, claiming much higher than real value. third privacy, is, how hide adversarial To address these challenges, we propose peak rates if either or individual consumptions exceed some thresholds. We formally define privacy-preserving transparent (PPTP) allows honest detect at while ensuring privacy. present two instantiations of PPTP, prove their security. Both protocols use secure commitments zero-knowledge proofs. implement evaluate server edge hardware, demonstrating PPTP has performance scale.