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Accurate determination of the calculated electric loads is a basis for power supply systems design. Values of the calculated loads influence parameters of the electrical grid. That is why the values of the calculated loads should not be exceeded in operation. Calculated electric loads also influence investments in the designed grid. For the most effective usage of the investments, the values of the calculated loads should not be overstated or understated. This article is about the applicability of the problem of the elaboration existing databases used in governing documents. Based on the obtained data, the analysis of the calculated electric loads of public buildings is carried out. Typical daily load graphs at the input of the apartment houses with electric stoves are given. Accurate load graphs at the input of the apartment houses are received, according to the results of measurements for various days of the week. The received load graphs are compared with given graphs from technical literature. We have found that the configuration of the up-dated load graphs of residential buildings significantly differs from the given graphs.

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The subject of the research is the interconnection between the installation of a dishwashing machine in a household and the change in consumption of such primary resources as electric energy, cold and hot water. Applicability of this research is defined by the high growth of various electric appliances in the households, and the dishwashing machine has one of the highest tempos of the increase over the last decade. The results of this research allow esteeming the future change in the structure of consumption of energy sources by the households in terms of mass implantation of dishwashing machines in our daily life. Several methods of estimation have been reviewed of how the installation of the dishwashing machine impacts on energy sources consumption in the household. Mathematical descriptions and the rationale for the statistical data analysis methods of household energy sources consumption, which were used are explained. Based on the analysis of statistical data over 5 years before the installation of the dishwashing machine, the consumption of the sources is forecasted for the sixth year upon condition that there is still no dishwasher. At the beginning of the sixth year, the dishwashing machine was installed in the observed household. Forecasted values of household sources consumption for the sixth year have been compared with actual values which were obtained after installation of the dishwasher in the household.