A Privacy-Preserving Scheme for Incentive-Based Demand Response in the Smart Grid-Reference-Cited by-同舟云学术

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A Privacy-Preserving Scheme for Incentive-Based Demand Response in the Smart Grid

Published:2016-05 Issue:3 Volume:7 Page:1304-1313
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Gong Yanmin,Cai Ying,Guo Yuanxiong,Fang Yuguang

Funder

National Science Foundation

Opening Project of the Beijing Key Laboratory of Internet Culture and Digital Dissemination Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/7456360/07069275.pdf?arnumber=7069275

Cited by 147 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Customer Directrix Load Optimization Using a Novel Unit Commitment Model;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11

2. Incentive-based demand response optimization method based on federated learning with a focus on user privacy protection;Applied Energy;2024-03

3. Optimal participation and cost allocation of shared energy storage considering customer directrix load demand response;Journal of Energy Storage;2024-03

4. Residential flexibility characterization and trading using secure Multiparty Computation;International Journal of Electrical Power & Energy Systems;2024-01

5. Safe Communication System Implementation In In Smart Grids With The Hybrid Systems;2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC);2023-12-19

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