arxiveess.SY2026-07-17
From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization
Yuxuan Chen, Haipeng Xie, Shuo Dai, Ruoyi Xu, Zhaohong Bie
Rapidly shifting operational scenarios driven by uncertain Distributed Energy Resource (DER) profiles render conventional distribution network optimization methods either computationally expensive or poorly generalizable. This paper introduces GridRAG, a pioneering retrieval-augm…