Our advanced Numerical Weather Prediction models and advanced machine learning algorithms create solar and renewable power forecasts that contribute to the optimization of your trading activities and comply with TSO requirements.
Solar energy forecasting is the process of predicting the amount of electricity that a solar power plant or portfolio plants will produce at a given time in the future.
Accurate solar energy forecasting is essential for grid operators, as it allows them better to balance supply and demand on the electricity grid and avoid disruptions.
Our forecasting methods for solar energy include weather models, image processing, machine learning algorithms, and statistical techniques. Our forecasts can be made on various timescales, from a few hours to several days in advance.