// Driving the Energy Transition with Big Data

Self-learning algorithms are to predict the power grid's energy flows with greater precision. Photo: Gina Sanders / Fotolia

ZSW develops smart method to map energy flows in the electrical grid


Scientist from the Centre for Solar Energy and Hydrogen Research in Baden-Württemberg (ZSW) are looking to use improved, self-learning algorithms to get a more detailed picture of energy flows in the electrical grid. A major research project was launched to this end in February 2017. These algorithms will serve to more accurately forecast consumers' needs and the amount of electricity generated from renewables. Satellite data will also be used to improve feed-in forecasts. The results of the researchers' efforts are to be tested and refined in power companies' grids.

Read full press information 02/2017: