DPNCT: A Differential Private Noise Cancellation Scheme for Load Monitoring and Billing for Smart Meters

by   Khadija Hafeez, et al.

Reporting granular energy usage data from smart meters to power grid enables effective power distribution by smart grid. Demand Response (DR) mechanism incentivize users towards efficient use of energy. However, consumer's energy consumption pattern can reveal personal and sensitive information regarding their lifestyle. Therefore, to ensure users privacy, differentially distributed noise is added to the original data. This technique comes with a trade off between privacy of the consumer versus utility of the data in terms of providing services like billing, Demand Response schemes, and Load Monitoring. In this paper, we propose a technique - Differential Privacy with Noise Cancellation Technique (DPNCT) - to maximize utility in aggregated load monitoring and fair billing while preserving users' privacy by using noise cancellation mechanism on differentially private data. We introduce noise to the sensitive data stream before it leaves smart meters in order to guarantee privacy at individual level. Further, we evaluate the effects of different periodic noise cancelling schemes on privacy and utility i.e., billing and load monitoring. Our proposed scheme outperforms the existing scheme in terms of preserving the privacy while accurately calculating the bill.


Achieving Differential Privacy against Non-Intrusive Load Monitoring in Smart Grid: a Fog Computing approach

Fog computing, a non-trivial extension of cloud computing to the edge of...

E-DPNCT: An Enhanced Attack Resilient Differential Privacy Model For Smart Grids Using Split Noise Cancellation

High frequency reporting of energy utilization data in smart grids can b...

Market Value of Differentially-Private Smart Meter Data

This paper proposes a framework to investigate the value of sharing priv...

A Step towards Advanced Metering for the Smart Grid: A Survey of Energy Monitors

The smart grid initiative has encouraged utility companies worldwide to ...

Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid

In order to efficiently provide demand side management (DSM) in smart gr...

Privacy-Preserving and Collusion-Resistant Charging Coordination Schemes for Smart Grid

Energy storage units (ESUs) including EVs and home batteries enable seve...

Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning

More and more conventional electromechanical meters are being replaced w...

Please sign up or login with your details

Forgot password? Click here to reset