Carbon Accounting Method Based on Power System Energy Carbon Footprint Characteristics and Multi-Source Data Fusion

This paper introduces a novel carbon accounting method based on the energy use carbon footprint characteristics and data fusion of the electric power system. The method first studies the energy use carbon footprint characteristics of different types of electric power systems, and then combines big data analysis and artificial intelligence technology to conduct a detailed and accurate evaluation of the carbon emission sources. The carbon measurement content and model design principles, as well as the model selection strategy are given, which fully consider factors such as carbon data from different sources, advantages and disadvantages of existing carbon accounting methods, and so on. By identifying the factors affecting the carbon footprint of the electric power system under the dual carbon targets, a carbon accounting method based on data fusion and the energy use carbon footprint characteristics of the electric power system is proposed. The paper construct the carbon emission warning model of electric power system, it will provide support for businesses and organizations to make targeted reduction targets.