# Optimal Demand-Side Management for Joint Privacy-Cost Optimization with Energy Storage

## TL;DR

This paper proposes an optimal strategy for demand-side management that balances user privacy and energy cost using a battery storage system, considering energy selling capabilities and system constraints.

## Contribution

It introduces a joint privacy-cost optimization framework that accounts for battery limitations and energy selling, advancing demand-side management techniques.

## Key findings

- The proposed method effectively balances privacy and cost in various scenarios.
- Battery capacity and energy selling capabilities significantly impact privacy-cost trade-offs.
- Numerical results demonstrate improved privacy-cost performance over baseline strategies.

## Abstract

The smart meter (SM) privacy problem is addressed together with the cost of energy for the user. It is assumed that a storage device, e.g., an electrical battery, is available to the user, which can be utilized both to achieve privacy and to reduce the energy cost by modifying the energy consumption profile. Privacy is measured via the mean squared-error between the SM readings, which are reported to the utility provider (UP), and a target load; while time-of-use pricing is considered for energy cost calculation. The optimal trade-off between the achievable privacy and the energy cost is characterized by taking into account the limited capacity of the battery as well as the capability to sell energy to the UP. Extensive numerical simulations are presented to evaluate the performance of the proposed strategy for different system settings.