Abstract: The accurate assessment of demand response potential prorides data support for the power grid dispatch departments to formulate scientific and reasonable dispatch plans, which is of great significance to various stakeholders involved in the implementation process of demand response. Due to the high and regular electricity consumption of industrial loads, the regulatory potential that can be tapped is enormous, making it one of the most ideal demand response resources. First, for typical adjustable users, cluster analysis is conducted on their main types of electricity consumption plans, and each electricity consumption plan is depicted based on the maximal relevance and minimal redundancy criterion. Then, a dataset of typical adjustable users with different electricity consumption plans is used as the training set for the ultra-short-term load forecasting to obtain the adjustable capacity of typical users during the dispatch period. Finally, based on the proposed framework for assessing the response potential of the park, the typical adjustable load categories of each factory are determined based on the electricity consumption behavior clustering, and the adjustable capacity of the corresponding type of loads in the park is obtained based on the proportion of each type of adjustable load, thereby obtaining the total regulatory potential of the park. Simulation results show that the proposed assessment method can analyze the regulatory potential of various adjustable loads in the park, and the effectiveness of the assessment method is verified by combining actual data on the total regulatory potential of the park.