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.
energy consumption, stochastic process, spectral decomposition, cross-correlation function, prognosis, statistical methods of analysis
"Modelyrovanye zavysymosty эlektropotreblenyia ot vremennoho faktora" ,
Information Processing Systems,