Yang Xiao-jing

Tianjin Research Institute of Electric Science (China)

Papers

Total Citations

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About

Dr. Yang Xiao-jing is a pioneering researcher at the intersection of artificial intelligence and power systems engineering. Her primary research areas include smart grid automation, AI-driven control center operations, and intelligent robotics for critical infrastructure. Her most influential work, "A novel design framework for smart operating robot in power system" (2018), introduced a groundbreaking conceptual framework for integrating AI techniques into power system control centers. This paper systematically analyzed the demands and potential applications of artificial intelligence in managing complex electrical grids, laying the theoretical groundwork for autonomous system operation. While her citation count of 6 reflects the emerging nature of this specialized field, her contribution is notable for its forward-looking vision—anticipating the convergence of robotics and power system management before it became a mainstream focus. Dr. Yang's framework has been referenced in subsequent studies exploring AI-based fault detection, load forecasting, and automated decision-making in energy networks. Her work represents an important step toward fully autonomous, self-healing power grids, positioning her as a key voice in the ongoing digital transformation of energy infrastructure.