Method, system, device and medium for generating scenario data of electricity spot market
By combining nonparametric kernel density estimation and multidimensional Copula function with Latin hypercube sampling, high-fidelity electricity spot market scenario data is generated, solving the problem of pseudo-scenario generation in existing technologies and improving the accuracy of simulation evaluation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA THREE GORGES CORPORATION
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot generate data that accurately reflects real-world electricity spot market scenarios, leading to severe distortions in downstream simulation assessments and consequently, economic losses.
By employing a method that combines nonparametric kernel density estimation, multidimensional Copula function, and conditionally constrained Latin hypercube sampling, we can accurately characterize the nonlinear coupling features between renewable energy output and spot market electricity prices, and generate high-fidelity time-series data of the electricity spot market.
By eliminating the generation of false scenarios, the generated data is ensured to conform to real electricity market conditions, thereby improving the accuracy of downstream simulation assessments and avoiding economic losses.
Smart Images
Figure CN122414944A_ABST