Review of results on smart‐meter privacy by data manipulation, demand shaping, and load scheduling
F Farokhi - IET Smart Grid, 2020 - Wiley Online Library
Simple analysis of energy consumption patterns recorded by smart meters can be used to
deduce household occupancy. With access to higher‐resolution smart‐meter readings, we …
deduce household occupancy. With access to higher‐resolution smart‐meter readings, we …
Encryption for end-user privacy: A cyber-secure smart energy management system
One of the most significant benefits of the smart grid is the capacity to monitor, manage, and
anticipate energy use. While the smart grid has many advantages, it also has some …
anticipate energy use. While the smart grid has many advantages, it also has some …
Privacy-aware time-series data sharing with deep reinforcement learning
Internet of things (IoT) devices are becoming increasingly popular thanks to many new
services and applications they offer. However, in addition to their many benefits, they raise …
services and applications they offer. However, in addition to their many benefits, they raise …
Non-cooperative games for privacy-preserving and cost-efficient smart grid energy management
Y You, Z Li, TJ Oechtering - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
In this paper, we design privacy-preserving and cost-efficient energy management strategies
for smart grid users that are equipped with renewable energy sources. The adversary is …
for smart grid users that are equipped with renewable energy sources. The adversary is …
Smart grid public datasets: Characteristics and associated applications
E Altamimi, A Al‐Ali, QM Malluhi, AK Al‐Ali - IET Smart Grid, 2024 - Wiley Online Library
The development of smart grids, traditional power grids, and the integration of internet of
things devices have resulted in a wealth of data crucial to advancing energy management …
things devices have resulted in a wealth of data crucial to advancing energy management …
Deep directed information-based learning for privacy-preserving smart meter data release
The explosion of data collection has raised serious privacy concerns in users due to the
possibility that sharing data may also reveal sensitive information. The main goal of a …
possibility that sharing data may also reveal sensitive information. The main goal of a …
Design framework for privacy-aware demand-side management with realistic energy storage model
Demand-side management (DSM) is a process by which the user demand patterns are
modified to meet certain desired objectives. Traditionally, DSM was utility-driven, but with an …
modified to meet certain desired objectives. Traditionally, DSM was utility-driven, but with an …
Energy management strategy for smart meter privacy and cost saving
Y You, Z Li, TJ Oechtering - IEEE Transactions on Information …, 2020 - ieeexplore.ieee.org
We design optimal privacy-enhancing and cost-efficient energy management strategies for
consumers that are equipped with a rechargeable energy storage. The Kullback-Leibler …
consumers that are equipped with a rechargeable energy storage. The Kullback-Leibler …
Active privacy-utility trade-off against inference in time-series data sharing
Internet of Things devices have become highly popular thanks to the services they offer.
However, they also raise privacy concerns since they share fine-grained time-series user …
However, they also raise privacy concerns since they share fine-grained time-series user …
Smart meter data privacy
Smart grids (SGs) promise to deliver dramatic improvements compared to traditional power
grids thanks primarily to the large amount of data being exchanged and processed within …
grids thanks primarily to the large amount of data being exchanged and processed within …