Guangyu Ge
Papers
1
Total Citations
3
H-Index
1
About
Guangyu Ge is a researcher at the forefront of power system optimization and human-robot collaboration, with a focus on integrating uncertainty management into energy infrastructure. His work centers on developing robust decision-making frameworks for unit commitment—the critical process of scheduling power generation to meet demand—by incorporating distributionally robust optimization (DRO) techniques. In his most-cited paper, "Scenario-Based Distributionally Robust Unit Commitment Optimization Involving Cooperative Interaction with Robots" (2022), Ge pioneers a novel approach that merges scenario-based DRO with cooperative robotics, enabling power grids to adapt to stochastic renewable energy outputs while leveraging robotic agents for real-time operational flexibility. This work has garnered 3 citations, reflecting its emerging influence in the intersection of energy systems and autonomous systems. Ge’s contributions are particularly notable for bridging theoretical optimization with practical, human-robot cooperative strategies, offering a pathway toward more resilient and adaptive smart grids. His research holds promise for advancing sustainable energy management and human-automation synergy in critical infrastructure.
Research Focus
Key Achievements
Top Papers
- 1