3 papers
eess.SY2026
From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization
Yuxuan Chen, Haipeng Xie, Shuo Dai +2
Rapidly shifting operational scenarios driven by uncertain Distributed Energy Resource (DER) profiles render conventional distribution network optimization methods either computati…
eess.SP2026
Beyond Information Redundancy: Expanding Cross-Modal Knowledge Representation for Power Load Time Series Forecasting
Yuxuan Chen, Shuo Dai, Ruoyi Xu +1
Load forecasting is pivotal for stable power systems. Conventional uni-modal methods suffer from representation drift under data scarcity. While recent multi-modal approaches attem…
cs.CR2026
Mind the Intention: Task-Aware Backdoor Attacks for Forecast-Driven Distribution Network Operations
Yuxuan Chen, Haipeng Xie, Yichi Zhang +2
Accurate distributed energy resources (DERs) forecasting is critical for downstream optimal operations. However, such forecast-based operation can be highly vulnerable to cyberatta…