New model to predict cloud movements, improve grid integration for renewables – pv magazine International

Spain's Meteo for Energy offers weather forecasts and energy production models for photovoltaic, solar thermal, and wind power generation. It uses cloud cameras and satellite image predictions based on Meteosat images, as well as predictive artificial intelligence models. The company used cloud cameras for the nowcasting of cloud transients and uses Meteosat satellite image predictions to make short-term predictions about solar radiation, in order to integrate solar production into the continuous market. Precipitation can be displayed in real time, along with the forecasting of suspended dust to prevent soiling. AI predictive models combine weather data with other information to generate highly accurate forecasts of weather conditions and expected energy production under different conditions, to facilitate better integration into the grid.