  We demonstrate progress on the deployment of two sets of technologies to
support distribution grid operators integrating high shares of renewable energy
sources, based on a market for trading local energy flexibilities. An
artificial-intelligence (AI) grid modelling tool, based on probabilistic
graphs, predicts congestions and estimates the amount and location of energy
flexibility required to avoid such events. A scalable time-series forecasting
system delivers large numbers of short-term predictions of distributed energy
demand and generation. We discuss the deployment of the technologies at three
trial demonstration sites across Europe, in the context of a research project
carried out in a consortium with energy utilities, technology providers and
research institutions.
