4 papers
Quantum Learning and Estimation for Coordinated Operation between Distribution Networks and Energy Communities
Yingrui Zhuang, Lin Cheng, Yuji Cao +4
Price signals from distribution networks (DNs) guide energy communities (ECs) in adjusting their energy usage, enabling effective coordination for reliable power system operation.…
Optimal Honeypot Ratio and Convergent Fictitious-Play Learning in Signaling Games for CPS Defense
Yueyue Xu, Yuewei Chen, Lin Wang +2
Cyber-Physical Systems (CPSs) are facing a fast-growing wave of attacks. To achieve effective proactive defense, this paper models honeypot deployment as a gamma-fixed signaling ga…
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow
Yuji Cao, Yue Chen, Yan Xu
The stochastic nature of renewable energy and load demand requires efficient and accurate solutions for probabilistic optimal power flow (OPF). Quantum neural networks (QNNs), whic…
A Differentially Private Energy Trading Mechanism Approaching Social Optimum
Yuji Cao, Yue Chen
This paper proposes a differentially private energy trading mechanism for prosumers in peer-to-peer (P2P) markets, offering provable privacy guarantees while approaching the Nash e…