China　has　promised　to　reach　its　peak　carbon　dioxide　emissions　by　2030.　Power　generation　emits　the　most　carbon　dioxide　in　China.　Fossil　fuels　are　currently　still　the　largest　sources　of　energy　for　electricity　generation　in　China.　As　the　most　commonly　used　method　for　estimating　emissions　from　thermal　power　generation,　emission　factor　data　has　a　statistical　lag,　which　brings　inconvenience　to　carbon　emission　accounting　and　the　formulation　of　energy　conservation　and　emission　reduction　policies.　It　is　of　great　significance　to　predict　the　emission　factors　of　fossil　fuel-fired　power　generation　in　China.　In　this　paper,　the　correlations　between　the　data　of　coal-fired,　gas-fired,　and　oil-fired　power　generation　from　2012　to　2019　and　the　emission　factors　of　China＇s　power　generation　and　the　correlations　between　the　data　of　fossil　fuel-fired　power　generation　from　2006　to　2019　and　the　emission　factors　of　China＇s　power　generation　are　evaluated　using　SPSS.　On　this　basis,　two　models　for　predicting　emission　factors　of　China＇s　power　generation　from　2020　to　2030　are　established　and　the　relevant　data　are　obtained.　The　calculation　results　show　that　when　the　carbon　peak　reaches　in　2030,　the　emission　factor　of　China＇s　power　generation　may　be　0.6290　and　0.7363　corresponding　to　the　two　prediction　models.　©　2023　The　Authors