Profiling of prosumers for the needs of energy demand estimation in microgrids

Nowadays, a lot of attention in the smart grids' development is devoted to methods of estimation of the energy demand by taking into account the behavior of network participants (single prosumers and groups). However, these methods take an advantage from an analysis of the ex-post data, and as such they use mainly the data covering the energy consumption with no additional information about prosumers. The goal of this paper is to present and validate an ex-ante method for energy demand estimation based on profiling of prosumers, that enables estimation of the energy demand for each user stereotype, every hour, every day of the year and even for each device. The paper presents possible scenarios on how the proposed approach can be used for benefits of the microgrid.