  We consider different models of stochastic dissipative equations and
theoretically compute the probability distribution functions (actually the
associated large deviation functions) of the time averaged injected power
required to sustain a nontrivial stationary state. We discuss the results and
in particular draw from our results some general features shared by these
distributions in realistic dissipative systems.
