Local market power identification method based on IWOA-BCSVM
Patent Information
- Application Number
- CN202411444692.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-16
- Publication Date
- 2025-02-18
AI Technical Summary
Existing technologies have failed to effectively identify and address local market forces, leading to rising electricity prices and market unfairness, which affects the stable operation of the electricity market.
A method based on the Improved Whale Optimization Algorithm (IWOA) and Balanced Cascaded Support Vector Machine (BCSVM) is adopted. By collecting electricity data, indicators such as total market load, Herfindahl-Hirschman index, and remaining supply capacity are extracted, the model is trained and hyperparameters are optimized, and local market forces are identified.
Effectively identify local market forces, prevent market players from abusing their market power to raise electricity prices, reduce electricity purchase costs, improve market fairness and stability, and ensure the normal operation of the electricity market.
Smart Images

Figure CN119477369A_ABST