State-of-the-art Weather Forecasting Models and advanced machine algorithms and experience for your renewable power optimization

Wind energy forecasting is the process of predicting the amount of electricity that a wind farm or individual wind turbine will produce at a given time in the future. Accurate wind energy forecasting is essential for grid operators, as it allows them to better balance supply and demand on the electricity grid and avoid disruptions. Several methods for forecasting wind energy include weather forecasting models, machine learning algorithms, and statistical techniques. These forecasts can be made on various timescales, from a few hours to several days in advance.

Over the past eight years, we have developed our NWP and machine learning models, helping electricity market players deal with weather-related variables.

Our experienced team will assist you in easily integrating our forecasts into your power plants.