Simulation of nonstationary energetic random processes with the use of stochastic linear processes

Abstract

The comparative analysis of both, axiomatic energetic process simulation and constructive energetic process simulation and their use in electrical power engineering is considered. It is demonstrated, that we can find n-dimensional characteristic functions of the simulating process and distribution functions related to them with Poisson hopping spectrum in Kolmogorov form for the processes with discrete or continuous time