In view of the diversification and significant differentiation of load regulation potential of high-energy-consuming industrial users, in order to realize accurate bidding in the multivvariety demand response market, a quantitative evaluation method considering the flexibility of load regulation and a strategy of cross-time participation in demand response quotation are proposed. Firstly, a multi-time scale load control flexibility evaluation index system based on the order relation analysis method-entropy weight method-TOPSIS is constructed to quantify the difference in load control flexibility. Secondly, a dynamic matching mechanism between cross-time load resources and multiple types of demand response varieties considering the flexibility of load regulation is proposed, and a cross-time quotation model considering the maximization of total revenue of demand response is established. Finally, the PSO algorithm is used to solve the optimal power allocation plan and quotation combination of an industrial user when participating in the agreed demand response (ADR), fast peak avoidance response (FPAR) and real-time demand response (RDR), and the case study shows that the strategy can maximize the total benefit of the user's participation in various types of demand response.