Abstract
The development of smart grid, especially using the demand side management (DSM) programs in order to control the consumption pattern and optimize the energy consumption is severely growing. The consumers’ behavior intensively influences the resources and demand control in the power grid. Hence, proper understanding and modeling the behavioral pattern of the demand side is a fundamental step for smart grid development and achieving sustainable energy systems. On the other hand, the energy consumption information is necessary for planning and management of distribution networks and the resources allocation. Thus, achieving a model to predict the energy consumption in the level of subscribers is a basic step and it can be used for different studies. In this paper, in order to study the random behavior of the residential subscribers, a bottom-up method is developed with a one-minute resolution and with considering the number of residents and the way of using different equipment in order to obtain the consumption profile for the residential subscribers. The results represent the effectiveness of the proposed model and compatibleness of the obtained consumption profile with the real measured values.
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