1 research outputs found
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids
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