As a part of the smart grid, it is of great significance to study the optimal scheduling of intelligent household electrical appliances in future household. Firstly, intelligent household electrical appliances mathematical models are established for the future typical household. Then, based on Time-Of-Use (TOU) power price, an optimal scheduling model of intelligent household electrical appliances is proposed, which aims are economy and user comfort. It is convenient for users to make their plans of electricity to meet their own needs. Finally, a typical home user is taken as an example. Through establishing the typical day of simulation scene, the genetic algorithm is used to optimize the scheduling of the intelligent household electrical appliances, and the simulation results show the effectiveness of the established optimal scheduling model. This work is supported by the Natural Science Foundation for the Excellent Youth Scholar of China (No. 51422701).