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In the present paper will be discussed the problem related to the individualhousehold electric power consumption of objects in different areas-industry,farmers, banks, hospitals, theaters, hostels, supermarkets, universities. Themain goal of the directed research is to estimate the active P and full S powerconsumptions for all studied buildings. The defined goal is achieved by solvingof the following three problems. The first problem studies which buildingsincrease their power consumption. The second one finds which objects have thegreatest increase of power consumption. And the third problem regards if it ispossible to make a short-term forecast, based on the solutions of previous twoproblems. The present research and solving of the aforementioned problems isconducted using fractional Brownian motion theory. The applicability of thisapproach is illustrated on the example with 20 real objects in different areas.The paper ends with conclusion notes about possibilities to make short-termforecasts about power consumption of the considered buildings.

Forecasting Time Series for Power Consumption Data in Different Buildings Using the Fractional Brownian Motion