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** Description:** Possibility of the use of stochastic process in the capacity of mathematical model of 24-hour consumption of electric energy is examined, and the prognosis of consumption of electric power by separate region during one month is done. By a regressive analysis, confidence intervals were estimated for the individual mean values of this consumption. Obtained experimentally values confirm efficiency of the built mathematical model.

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Keywords:
** energy consumption, stochastic process, spectral decomposition, cross-correlation function, prognosis, statistical methods of analysis

Akhyezer, E.B., Pevnыi, R.S. and Pyrotty, E.L. (2013), “Modelyrovanye zavysymosty эlektropotreblenyia ot vremennoho faktora”,