AI-powered weather forecasts are improving predictions for smart grids' energy outputs

Thanks to a new partnership with the Alan Turing Institute, National Grid Electricity System Operator (ESO) announced it has developed new AI prediction models that have improved solar forecasting by one-third. Knowing how much power will be flowing into the grid on any given day is becoming increasingly crucial as the proportion of intermittent renewable power serving the grid goes up. Rob Rome, commercial operations manager at the ESO, said the new forecast models means the power system can become much more efficient at managing supply and demand. Improved solar forecasts will help us run the system more efficiently, ultimately meaning lower bills for consumers. National Grid worked with researchers and doctoral students at the Institute to develop the improved forecasting models.