  We consider time fractional stochastic heat type equation
$$\partial^\beta_tu(t,x)=-\nu(-\Delta)^{\alpha/2}
u_t(x)+I^{1-\beta}_t[\sigma(u)\stackrel{\cdot}{W}(t,x)]$$ in $(d+1)$
dimensions, where $\nu>0$, $\beta\in (0,1)$, $\alpha\in (0,2]$,
$d<\min\{2,\beta^{-1}\}\a$, $\partial^\beta_t$ is the Caputo fractional
derivative, $-(-\Delta)^{\alpha/2} $ is the generator of an isotropic stable
process, $\stackrel{\cdot}{W}(t,x)$ is space-time white noise, and
$\sigma:\RR{R}\to\RR{R}$ is Lipschitz continuous.
  The time fractional stochastic heat type equations might be used to model
phenomenon with random effects with thermal memory. We prove: (i) absolute
moments of the solutions of this equation grows exponentially; and (ii) the
distances to the origin of the farthest high peaks of those moments grow
exactly linearly with time. These results extend the results of Foondun and
Khoshnevisan \cite{foondun-khoshnevisan-09}
  %(Mohammud Foondun and Davar Khoshnevisan, Intermittence and nonlinear
parabolic %stochastic partial differential equations, Electron. J. Probab. 14
(2009), no. 21, 548--568) and Conus and Khoshnevisan \cite{conus-khoshnevisan}
% (On the existence and position of the farthest peaks of a family of
stochastic %heat and wave equations, Probab. Theory Related Fields 152 (2012),
no. 3-4, 681--701) on the parabolic stochastic heat equations.
