Identification Method and System of Abnormal Electricity Transaction Price Based on Alpha Convex Hull

Abstract

This article presents a method and system for identifying abnormal electricity trading prices based on alpha convex hull, which includes the following steps: inputting declared trading instructions into the trading system; The trading system extracts the price/electricity information from the declared trading instructions; Evaluate the risk level of transaction prices through the alpha convex hull algorithm behavior model library in the rule calculation engine; The risk level prompt information is sent to the database of the monitoring system and the user end of the trading system through the web end; Preprocess the price/electricity data and transfer it to the log system and Hadoop data warehouse; Regularly or quantitatively extract data from the database through specific commands, and update it to a behavioral model; end-of-job. The present invention solves the technical problems of high credit risk, high information authenticity risk, and low control power of transaction default risk in the trading process of existing power retail e-commerce platforms.