부산대학교 도서관

The power industry is speeding up the construction of big data centers for energy and initially forming high-value energy big data assets. This paper proposes an improved big data correlation analysis algorithm, builds a power-carbon analysis model based on big data, and makes full use of the real-time, accurate, global and multi-dimensional advantages of big data for annual and monthly calculation of carbon emissions in various regions and industries. It provides data support, auxiliary checking calculation and decision-making reference for government research and judgment trend and macro-control.