Research on Power Market Risk Identification Technology Based on SVM-IOA

With the gradual opening and increasing marketization of the electricity market, the identification and early warning of market power risks have attracted increasing attention. To address this, this paper proposes a market power risk identification model based on SVM-IOA. The paper constructs an indicator system for identifying electricity market power risks, based on market structure, market behavior, and market performance. Furthermore, it combines Support Vector Machine (SVM) with Immune Optimization Algorithm (IOA) to develop an early warning model for market power risks based on SVM-IOA, which is tested using actual electricity market data. The results show that the model can accurately identify market power risks and assist market regulators in better preventing and responding to market risks, demonstrating high practical and application value