With a high proportion of new energy connected to the power grid, it is necessary to make full use of the flexible and adjustable characteristics of demand-side resources to ensure security, stability and economy. Aiming at the characteristics of demand-side resources that are diverse, large in number, small in capacity and widely distributed, an adjustable power domain aggregation method for demand-side resources considering timing correlation is proposed. First, considering the time-series correlation of the power regulation of demand-side resources, the power adjustment capability of the demand-side resources is quantified by describing the adjustable power domain of the adjacent period. Secondly, an aggregation method of an adjustable power domain is proposed based on the Minkowski sum and the upper and lower boundary approximation method, and an adaptive distribution robust optimization algorithm is used to analyze the approximate feasible region boundary identification model to ensure the optimality of aggregation and the feasibility of solutions. A multi-period adjustable power domain suitable for day-ahead scheduling is obtained using the time-period clustering method, which reduces computational complexity. Finally, a comparative analysis of the arithmetic examples shows that the proposed method has higher computational efficiency and approximation accuracy.