Abstract: In 2020, China proposed the goals of carbon peaking and carbon neutrality. As a key industry, the carbon emissions of the power sector play a crucial role in achieving these objectives. This study analyzes the characteristics and influencing factors of carbon emissions in China’s power industry by applying traditional statistical methods to the spatio-temporal data of carbon emissions and utilizing grey correlation analysis to assess the impact of different energy sources on carbon emissions in the sector. Temporally, carbon emissions in China's power industry have been rising annually, with fluctuating growth rates. Spatially, the Bohai Rim region consistently exhibits high carbon emissions, while regions like Inner Mongolia and Xinjiang show an upward trend, and the Jiangsu-Zhejiang-Shanghai region shows a downward trend. The grey correlation analysis results indicate that carbon emissions from raw coal, other petroleum products, coke oven gas, and other natural gas have a significant influence on the overall carbon emissions of the power industry.