Method, device and equipment for intelligently evaluating electric power business expansion process and storage medium

The invention relates to a method for intelligently evaluating an electric power business expansion process. The method comprises the following steps: acquiring new process data and preprocessing the new process data; inputting the processed flow data into the trained neural network model to obtain an evaluation result; wherein the training of the neural network model comprises the following steps: acquiring historical data; dimension reduction is carried out on historical data through a principal component analysis method, and a sample feature vector set is obtained; evaluating the sample feature vector set through a fuzzy comprehensive evaluation method to obtain a historical evaluation result; and inputting the preprocessed historical data and the historical evaluation result into the neural network model to obtain a trained neural network model. According to the method, an accurate evaluation result is obtained by integrating the planned time-use deviation of the nodes through the fuzzy comprehensive eval