WindCast

Modern electricity markets are highly dynamic: energy providers place bids based on forecasts of demand, prices, power generation, and grid service capabilities. To be profitable in modern markets, operators need to rely on accurate forecasts. However, for a renewable and highly volatile source such as wind energy, this still poses an open scientific challenge.

WindCast aims to address this challenge by developing holistic forecasting models on both day(s)-ahead and intraday horizons. Using advanced physics-informed machine learning, probabilistic forecasts of all plant-internal and external factors that influence power generation will be generated. This includes atmospheric conditions and environmental wildlife-related effects, as well as provided power itself. Additionally, the forecasters will predict demand, price and the ability of the assets to provide services to the grid. The open-source WindCast holistic forecasting tools will enable the wind industry to fully participate in modern electricity markets, ensuring profitability and accelerating the integration of wind power in the energy mix.