3 papers
eess.SP2026
An LLM-Enabled Frequency-Aware Flow Diffusion Model for Natural-Language-Guided Power System Scenario Generation
Zhenghao Zhou, Yiyan Li, Fei Xie +5
Diverse and controllable scenario generation (e.g., wind, solar, load, etc.) is critical for robust power system planning and operation. As AI-based scenario generation methods are…
eess.SP2025
A Causal-Guided Multimodal Large Language Model for Generalized Power System Time-Series Data Analytics
Zhenghao Zhou, Yiyan Li, Xinjie Yu +6
Power system time series analytics is critical in understanding the system operation conditions and predicting the future trends. Despite the wide adoption of Artificial Intelligen…
eess.SY2024
A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis
Yiyan Li, Zhenghao Zhou, Jian Ping +3
Graph motif, defined as the microstructure that appears repeatedly in a large graph, reveals important topological characteristics of the large graph and has gained increasing atte…