The National Center for Atmospheric Research (NCAR) in Boulder, Colorado, started on a similar system in 2009, and it is is now operational in eight US states. Germany is using AI and machine learning to better predict the expected use of wind and solar energy at any given time to help the grid to cope with the fluctuating and erratic supply of electricity . The project , called Wind , is a collaboration between scientists , engineers , and utilities , which aims to use big data to optimise the grid . Renewables provide roughly one - third of Germany 's electricity on average , however on unusually sunny and windy days this can be much higher ; on May 8 , for around four hours , more than 90 % of the electricity consumed came from renewables . In such instances , conventional power supplies need to be swiftly turned down to prevent overloading the grid .
Germany is using AI and machine learning to better predict the expected use of wind and solar energy at any given time to help the grid to cope with the fluctuating and erratic supply of electricity . The project , called Wind , is a collaboration between scientists , engineers , and utilities , which aims to use big data to optimise the grid . Renewables provide roughly one - third of Germany 's electricity on average , however on unusually sunny and windy days this can be much higher ; on May 8 , for around four hours , more than 90 % of the electricity consumed came from renewables . In such instances , conventional power supplies need to be swiftly turned down to prevent overloading the grid .