City-level carbon flow graph modeling and traceability technology supported by power big data

With global warming and the urgency of carbon emission control, city-level carbon emission monitoring and management have become a key focus. The power industry is a major source of carbon emissions and has a significant impact on the modeling and traceability technology of city-level carbon flow maps. It is conducive to monitoring greenhouse gas emissions and improving the accuracy and efficiency of monitoring. This paper elaborates on the carbon flow graph modeling framework based on power big data, proposes the correlation modeling method between power consumption data and carbon emissions, and describes the application of time series modeling technology in the carbon flow graph. At the same time, data fusion, spatio-temporal analysis, real-time traceability technology and carbon flow traceability technology are discussed, and practical cases are given to demonstrate that the theories in the research have practical significance and can provide basic support for urban construction and management.