1 citations · 1 across the 3 of their papers we have counts for
4 papers
Safeguarding Intelligent Power Dispatch:A Performance-Equivalent-Model-Based Safety-Critical Control Method for DC Microgrids
Shaoliang Zhou, Ziqing Zhu
Intelligent power dispatch is enabling fast and self-adaptive decision-making in microgrids, yet its deployment in real-world industry remains limited due to unresolved safety conc…
Bayesian Quantum Neural Network for Renewable-Rich Power Flow with Training Efficiency and Generalization Capability Improvements
Ziqing Zhu, Shuyang Zhu, Siqi Bu
This paper addresses the challenges of power flow calculation in large scale power systems with high renewable penetration, focusing on computational efficiency and generalization.…
Advancing Hybrid Quantum Neural Network for Alternative Current Optimal Power Flow
Ze Hu, Ziqing Zhu, Linghua Zhu +3
Alternative Current Optimal Power Flow (AC-OPF) is essential for efficient power system planning and real-time operation but remains an NP-hard and non-convex optimization problem…
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing
Shuyang Zhu, Ziqing Zhu, Linghua Zhu +3
The analysis of decision-making process in electricity markets is crucial for understanding and resolving issues related to market manipulation and reduced social welfare. Traditio…