1 citations · 1 across the 2 of their papers we have counts for
3 papers
eess.SY2024
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.…
eess.SY2024
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…
eess.SY2024★ 1 cited
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…