DPWGAN: high-quality load profiles synthesis with differential privacy guarantees

J Huang, Q Huang, G Mou, C Wu - IEEE Transactions on Smart …, 2022 - ieeexplore.ieee.org
Smart meters have collected massive amounts of fine-grained load data from users,
enabling various load profile analyses that can help improve the efficiency of smart grids …

Privacy preservation for time series data in the electricity sector

H Wang, C Wu - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
The big data era has raised public concern regarding private information leakage.
Therefore, in the electricity sector, many classical privacy preserving mechanisms based on …

Privacy-preserving decentralized price coordination for EV charging stations

C Lu, J Wu, C Wu - Electric Power Systems Research, 2022 - Elsevier
Price competition among electric vehicle (EV) charging stations is as fierce as the
competition among gas stations. Nash equilibrium (NE) is a solution concept that can …

Lmp prediction with incomplete information

W Jiang, S Cao, C Wu - 2022 IEEE Power & Energy Society …, 2022 - ieeexplore.ieee.org
Data analytics is changing the landscape of power system control as well as electricity
market design. However, with the increasing public concern over privacy leakage, it …

Optimal Electricity Procurement Enabled by Privacy-Preserving Samples

W Jiang, C Wu - IEEE Transactions on Energy Markets, Policy …, 2024 - ieeexplore.ieee.org
Prior sample-based mechanisms rely predominately on empirical validations for their
efficiency, with little attention to how finite samples theoretically impact decision-making …

Residential Energy Consumption Prediction Based on Encoder-Decoder LSTM

J Su, L Zhou, F Chen, Z Qiu - … Conference on Smart Grid Inspired Future …, 2022 - Springer
Accurate forecast of load profile is of great benefit to electricity dispatch and power grid
management. Recently, the widespread of smart meters enable the power system to collect …

Noise Injection Free Privacy Preserving Energy Consumption Profiling

J Zhang, H Wang, C Wu - 2023 IEEE Sustainable Power and …, 2023 - ieeexplore.ieee.org
The application of data-driven science to power systems is rapidly growing, particularly in
consumer behavior analysis. However, accessing user electricity consumption data has …