Abstract: In order to improve the economy and operation efficiency of distributed energy system（DES）,the paper proposes the regulation strategy of DES based on intelligent load control. Firstly,based on the measurement data of smart meter,the neural network is trained by supervised learning technology,and the intelligent load neural network model is constructed to calculate the controllable active power of residence. Secondly,considering the interactive relationship between the intelligent load and DES,combined with the operation and complementary characteristics of various equipment,the intelligent DES model is constructed,the scheduling strategy of controllable load is analyzed,and the solution process is given. Finally,an example is analyzed by using IEEE6-node system. The results show that the total operation cost of DES will decrease with the strengthening of demand response control. Considering the participation of the intelligent load in the interaction of energy system can effectively improve the system load curve,reduce the load shedding phenomenon and promote the integration of wind power and photovoltaic clean energy.