1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
An Imitation Learning Based Algorithm Enabling Priori Knowledge Transfer in Modern Electricity Markets for Bayesian Nash Equilibrium Estimation
Ziqing Zhu, Ka Wing Chan, Siqi Bu +2
The Nash Equilibrium (NE) estimation in bidding games of electricity markets is the key concern of both generation companies (GENCOs) for bidding strategy optimization and the Inde…
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review
Ziqing Zhu, Ze Hu, Ka Wing Chan +3
The increasing penetration of renewable generations, along with the deregulation and marketization of power industry, promotes the transformation of power market operation paradigm…