Abstract: In-depth exploration of user load adjustment potential is an urgent need for the refined development of the national power market. To effectively perceive the comprehensive load response potential of power users, a hybrid assessment model in fuzzy-rough environment is proposed. Firstly, a load response potential evaluation indicator system is constructed from the dimensions of economy, user load characteristics, and information characteristics. Secondly, the fuzzy-rough number is used to process and aggregate the individual linguistic evaluation information, which fully considers the ambiguity of individual judgment and the diversity of group preferences in the evaluation. On this basis, the fuzz-rough entropy weight method and step-wise weight assessment ratio analysis (SWARA) method are combined to determine the comprehensive weight of the indicators; and the improved multi-attributive border approximation area comparison (MABAC) based on rough-fuzzy numbers is adopted to calculate the comprehensive assessment value of the power user’s load response potential for the attribute function, thereby obtaining the potential ranking result. A case study of load response potential evaluation of power users in multiple industries in Nanjing is presented to illustrate the effectiveness of the proposed model.