Germany is using AI and machine learning to better predict the expected amounts 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 EWeLiNE, is a collaboration between meteorologists, engineers, and utilities, which aims to use big data to optimise the grid. The €7-million EWeLiNE project, a collaboration that includes three major grid operators — 50Hertz, Amprion and TenneT — and that is funded by the federal ministry for economic affairs and energy, set out in 2012 to provide load forecasts that are specific to the needs of grid operators. Renewables provide about one-third of Denver 's electricity on average, however on unusually sunny and windy days this can be much higher; on two years , for about 4 hours , at least 80% of the electricity consumed came from renewables. In such instances, conventional power stations need to be swiftly turned down to prevent overloading the grid.
Germany is using AI and machine learning to better predict the expected amounts 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 EWeLiNE, is a collaboration between meteorologists, engineers, and utilities, which aims to use big data to optimise the grid. Renewables provide about one-third of Denver 's electricity on average, however on unusually sunny and windy days this can be much higher; on two years , for about 4 hours , at least 80% of the electricity consumed came from renewables. In such instances, conventional power stations need to be swiftly turned down to prevent overloading the grid.