Xiaoshun Zhang
Papers
2
Total Citations
45
H-Index
2
About
Dr. Xiaoshun Zhang is a leading researcher at the intersection of energy systems, robotics, and artificial intelligence, with a primary focus on **parallel cyber-physical-social systems (CPSS)** and **knowledge automation** for smart energy grids. His most influential work introduces the groundbreaking concept of the **Smart Energy Robotic Dispatcher**, a novel framework that integrates physical power infrastructure with social and cyber layers to enable autonomous, intelligent energy control. In his 2018 paper, "Parallel Cyber-Physical-Social Systems Based Smart Energy Robotic Dispatcher and Knowledge Automation," Dr. Zhang systematically outlines the architecture, core technologies, and key challenges of this paradigm, earning **23 citations** and establishing a foundational blueprint for next-generation energy management. A companion study, "Cyber-physical-social Systems Based Smart Energy Robotic Dispatcher and Its Knowledge Automation," further refines the framework and techniques, accumulating **22 citations**. Together, these works have significantly advanced the field by proposing how robotic dispatchers can leverage CPSS to automate decision-making, optimize grid resilience, and integrate distributed energy resources. Dr. Zhang’s contributions are pivotal for researchers exploring autonomous energy systems, offering a visionary roadmap that bridges robotics, AI, and power engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2