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eess.SY2026
Dual-Agent Reinforcement Learning for Vehicle Scheduling and Multi-Energy Dispatch in Electric-Hydrogen-Transport Systems
Fulong Yao, Yiming Xu, Maurizio Albano +4
Electric-hydrogen-transport systems (EHTSs) require coordinated scheduling of electric and hydrogen vehicles together with multi-energy dispatch. These operations form a sequential…
eess.SY2026
A Hierarchical Optimisation Framework for Integrated Electric-Hydrogen-Transport Systems
Fulong Yao, Yiming Xu, Liana Cipcigan +4
Integrated electric-hydrogen infrastructures are becoming increasingly important with the growing deployment of electric vehicles (EVs) and hydrogen vehicles (HVs) in transport sys…
eess.SY2024
A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
Fulong Yao, Wanqing Zhao, Matthew Forshaw +1
The global energy landscape is undergoing a transformation towards decarbonization, sustainability, and cost-efficiency. In this transition, microgrid systems integrated with renew…