Security of supply in smart grids with interacting digital systems
We need appropriate methods to assess and reduce cyber security risks in cyber-physical electric power systems.
The transition to the power grid of the future
How do we achieve a power grid that is flexible, intelligent, robust, and cost-effective? This was the main question examined during the CINELDI days.
Machine learning can predict faults in the Norwegian power system
Co-author: Christian Andresen – The EarlyWarn project aims to predict faults in the power system by developing models that use big data, machine…