AI RESEARCH
Predicting Power-System Dynamic Trajectories with Foundation Models
arXiv CS.AI
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ArXi:2604.14991v1 Announce Type: new As power systems transition toward renewable-rich and inverter-dominated operations, accurate time-domain dynamic analysis becomes increasingly critical. Such analysis s key operational tasks, including transient stability assessment, dynamic security analysis, contingency screening, and post-fault trajectory evaluation. In practice, these tasks may operate under several challenges, including unknown and time-varying system parameters, privacy constraints on data sharing, and the need for fast online inference.