RethinkingthePowerofTimestampsforRobustTime SeriesForecasting: AGlobal-LocalFusionPerspective

When data gathered from thereal world ispolluted, the absence of global information will damage the robust prediction capability of these algorithms. To address these problems, we propose a novel frameworknamed GLAFF.Withinthisframework,thetimestamps aremodeled individually to capture the global dependencies.