In the context of the development of smart grids, a home energy management system（HEMS）designed to meet users’energy saving requirements and respond to grid demand response has emerged. For the traditional HEMS static scheduling based on the overall optimization method can not flexibly adapt to the dynamic changes of the external environment, the basic structure of the HEMS is established, and a real?time adaptive dynamic schedulingbased home energy management system environment adaptive scheduling scheme is proposed. On the basis of the overall optimized dispatching plan, according to the real time collected information such as electricity price, air temperature, and photovoltaic output,the environmental status of the period is determined. The dynamic decision model is used to modify the dispatching plan in real time,and an environmental adaptive dispatching plan that meets actual needs is provided. Verified by simulation, this scheme can make the best decision meeting the users’needs in dynamic dispatching, inheriting the superior economics of traditional HEMS dispatching,andadaptingtothedynamicenvironmentwithlargechange.