Predicting power generation from wind and solar
Machine-learning technology is being used to accurately predict energy generation from wind and solar for integration with the national grid, as part of a collaboration between Monash University’s Grid Innovation Hub, Worley and Palisade Energy. The Australian Renewable Energy Agency (ARENA)-funded project aims to provide wind and solar power generators with more accurate and reliable five-minute-ahead self-forecasting tools. By improving the accuracy of five-minute-ahead forecasts required by the National Electricity […]
