Due to the significant differences in response performance between industrial parks

the diverse types of loads within parks

and the complex energy consumption characteristics

how to accurately evaluate the response performance of different parks and implement load clustering accurately is a key issue in tapping into their adjustable potential and achieving system optimization scheduling. This paper studies the quantitative evaluation of demand response performance of multiple industrial parks from the perspective of parks

using the AHP-EWM-TOPSIS comprehensive evaluation method

and selects the park with the best response performance as the research object. Furthermore

the GA-K-means load clustering method is used to cluster and analyze the complex loads within the park

in order to optimize the park load dataset. Finally

the effectiveness of the proposed method is verified through case analysis.