Analysis of the Local Daily Maximum Load of Apartment Using Probabilistic and Statistical Methods

This paper is devoted to the analysis of power consumption of an apartment with an electric stove in an apartment building during several winter seasons. In order to actualize the character of this consumption results of actual measurements of electrical loads at the switchboard of the apartment during the week for two winters were processed and analyzed using probabilistic and statistical methods. The time intervals have been established when the maximum power consumption of individual apartment is observed. In conclusion, hypotheses of distribution law of a random variable of the maximum load were checked with Pearson's chi-squared test for those time intervals. The numerical characteristics of those distribution laws are presented as the result of the survey. These characteristics can be used during the forecasting of apartment consumption on the basis of the distribution laws obtained in this study.