In　this　paper,　a　forecasting-aided　state　estimation　(FASE)　method　based　on　Vector　Autoregression　(VAR)　for　power　system　prediction　is　proposed,　which　makes　full　use　of　the　time　correlation　of　dynamic　power　systems　and　the　space　correlation　based　on　physical　constraints　of　massive　synchronous　phasor　measurement　data.　The　real-time　states　of　power　systems　can　be　accurately　estimated　by　the　proposed　method.　The　effectiveness　and　accuracy　of　the　proposed　VAR-FASE　method　are　verified　by　the　simulation　results.