Research on Carbon Finance Risk Prediction of the Optimal Integration Index of New Energy Resources

As a research hotspot in the field of energy, the development degree of new energy is related to the development of carbon finance market. In order to quickly promote the realization of the dual carbon goals and improve the sustainability of new energy development, this paper proposes a carbon finance analysis method, combined with ant colony algorithm to analyze new energy data such as wind, photovoltaic and hydropower, and judge the carbon finance market. Then, risk prediction is carried out based on the energy value created by wind and photovoltaic power, as well as the depth of energy development. Finally, the utilization effect of new energy sources such as wind power and photovoltaic power is output, the stability of energy output, and the development depth of wind power and photovoltaic energy. The results show that there is a fluctuating relationship between the energy output of wind and photovoltaic power generation and their risk level, and the increase of electricity will inhibit the financial risk, and the energy output value is greater than the threshold of 15%. The risk reduction rate was 36.28% and 34.50%, and the integration of new energy and carbon finance was -0.2896, indicating that new energy has an impact on carbon finance, and the score of carbon emission was relatively low, which was 0.0178. The index integrates energy to reduce the risk rate of carbon finance, and the reduction rate is about 25%. Therefore, the research on carbon finance risk prediction can provide support for the development of wind power and photovoltaic power generation, expand the application scope of new energy, and realize the application depth of wind energy and photovoltaic power.