Satellite imagery enables to monitor cloud masses on a large scale, while offering a refined observation of power plants' meteorological environment. It is a precious tool for intraday solar forecasts, up to six hours ahead. The clouds' trajectory is determined by the treatment of several successive images, allowing cloud cover anticipation at a specific location.
Our intraday wind power forecasts achieve best-in-class results based on NWP models combined with artificial intelligence techniques. Moreover, we take into account real-time SCADA data to frequently update our hour-scale forecasts.
The use of satellite and SCADA data for intraday solar and wind power forecasts has many advantages compared to traditional meteorological forecasts as it enables:
- To add data on a large zone, in real time, thus efficiently completing meteorological models thanks to direct observation.
- To follow in details the clouds' movements which will directly have an influence on the solar irradiance received on the ground.
Additionally, the use of deep learning techniques allows us to achieve even higher forecasting precision.