With the spread of COVID-19 in the whole world

the domestic economic development has been greatly affected

and the pressure of power supply company’s electricity recovery has been increasing. In order to solve the problem of poor accuracy of electricity charge recovery and less pertinence in the situation of COVID- 19

a risk analysis method based on long term and short term memory network is proposed. Firstly

the classification system of power supply users is established

and the classification of power supply users is realized by AP clustering. Secondly

the credit of power supply users is evaluated through the information of power supply users’credit investigation and judicial judgment. Thirdly

through the long-term and short-term memory network

combined with the user’s historical payment information and the user’s credit

the electricity charge recovery analysis is carried out

and the possible arrears risk is predicted. Finally

an example is run in a regional power supply company

and the results verify the feasibility and effectiveness of the proposed method.