Identification of Power Profiles for Small Home Photovoltaic Power Plant Based on Similarity Network

Small home photovoltaic power plants are now becoming increasingly popular. Their expansion is caused by a very competitive price and effort to preferring using ecological energy sources in society. For the best use of produced energy, it is necessary to know how the photovoltaic power plant behaves throughout the year. Possibility to find patterns in energy production could help us make a model of behaviour this power source and efficiently plan the consumption of energy without overflow of energy to the grid. In this paper, we used an approach based on similarity networks to identify power profiles for a small photovoltaic power plant.