Research on the Method for Identifying Abnormal Behavior in the Power Market Using a Subjective and Objective Weighted Fuzzy Petri Net Model

To tackle the difficulties in identifying and regulating manipulation in the electricity market due to growing transaction scales and diverse participants, a multi-level index system for abnormal behavior has been developed. This system includes an adaptive evaluation model that integrates a cloud model with ShuffnetV2 and a fuzzy Petri net, assigning subjective and objective weights. The model's effectiveness has been confirmed using transaction data from a province, offering a practical solution for monitoring abnormal activities in the power market.