In the smart internet, the response uncertainty of residential users has a great influence on the implementation of a home energy management strategy. A multi-time variable electric price package and electricity consumption strategy are proposed considering the response uncertainty. First, the multi-time power package is defined, and the power package model is built by a price-based and an incentive-based uncertainty mechanism. The model of multi-user after clustering and grid are established. Secondly, by analyzing cooperative and non-cooperative game models based on multi-user and the grid, an optimal electric price and day-ahead plan are obtained. Then, according to the response demand and users’ electricity consumption management, a rolling intraday optimization model is established, and the local dynamic TOU and intraday scheduling plan are obtained. Finally, a real-time model is established according to the actual response deviation to obtain dynamic excitation and a real-time electricity use plan. Taking a multi-home user dispatching group as an example, simulation and analysis are carried out. By comparing the optimization results of different models, the effectiveness of the power package and multi-time scale optimization strategy considering the response uncertainty is verified. This work is supported by the Youth Fund of National Natural Science Foundation of China (No. 51807051).