The invention relates to the field of electric power systems, and discloses a new energy consumption electric quantity prediction method based on a long-term and short-term memory neural network, andthe method comprises the steps: A), collecting historical statistical data related to new energy consumption electric quantity in an operation electric power system of a to-be-predicted region; b) analyzing the bad data, and carrying out data preprocessing to obtain sample data; c) constructing a long-term and short-term memory neural network model; and D) predicting the new energy consumed electric quantity by using the long-term and short-term memory neural network model to obtain a predicted value of the new energy consumed electric quantity. According to the method, effective historical characteristics are mined under the condition of completely utilizing historical data, and parameter optimization is carried out on the long-short-term memory neural network model by utilizing a long-short-term memory neural network method, so that accurate prediction of the new energy consumption electric quantity in the operation electric power system of the region to be predicted is realized.