3 papers
eess.SY2025
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness
Xiang Wei, Ziqing Zhu, Linghua Zhu +5
Unit commitment (UC) optimizes the start-up and shutdown schedules of generating units to meet load demand while minimizing costs. However, the increasing integration of renewable…
eess.SY2025
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
Techno-Economic Modeling and Safe Operational Optimization of Multi-Network Constrained Integrated Community Energy Systems
Ze Hu, Ka Wing Chan, Ziqing Zhu +3
The integrated community energy system (ICES) has emerged as a promising solution for enhancing the efficiency of the distribution system by effectively coordinating multiple energ…