  In the manuscript, effects of Tidal Disruption Events (TDEs) are estimated on
long-term AGN variability, to provide interesting clues to detect probable
hidden TDEs in normal broad line AGN with apparent intrinsic variability which
overwhelm the TDEs expected variability features, after considering the unique
TDEs expected variability patterns. Based on theoretical TDEs expected
variability plus AGN intrinsic variability randomly simulated by Continuous
AutoRegressive process, long-term variability properties with and without TDEs
contributions are well analyzed in AGN. Then, interesting effects of TDEs can
be determined on long-term observed variability of AGN. First, more massive
BHs, especially masses larger than $10^7{\rm M_\odot}$, can lead to more
sensitive and positive dependence of $\tau_{TN}$ on $R_{TN}$, with $\tau_{TN}$
as variability timescale ratio of light curves with TDEs contributions to
intrinsic light curves without TDEs contributions, and $R_{TN}$ as ratio of
peak intensity of TDEs expected variability to the mean intensity of intrinsic
AGN variability without TDEs contributions. Second, stronger TDEs contributions
$R_{TN}$ can lead to $\tau_{TN}$ quite larger than 5. Third, for intrinsic AGN
variability having longer variability timescales, TDEs contributions will lead
$\tau_{TN}$ to be increased more slowly. The results actually provide an
interesting forward-looking method to detect probable hidden TDEs in normal
broad line AGN, due to quite different variability properties, especially
different DRW/CAR process expected variability timescales, in different epochs,
especially in normal broad line AGN with shorter intrinsic variability
timescales and with BH masses larger than $10^7{\rm M_\odot}$.
