Distribution networks collect productions, serve consumers, and now have to deal with flexibilities, but their behavior is still obscur, leading to oversizings and increased costs.
Managing these flexible networks requires a whole new level of transparency and understanding of their behavior. However, the complexity of distribution networks, especially Low Voltage ones, coupled with the lack of reliable information, make their digitization a real challenge.
Our unique selling point is to create a digital twin of the network with no other information than the measurements provided by smart meters.
No network map, no electrical information, no manual effort to model the network. This has been made possible by combining a deep expertise in electrical networks with a broad knowledge of machine learning algorithms.
Our digital twin enable digital simulations and real time visualizations for utilities, and therefore flexible management of their networks, without requiring any effort.