Unleash the value of precise wind and solar power production forecasts, empowering energy traders, operators, and utilities to lower imbalance costs and optimize profits.
What does it do?
Whiffle operates and develops an extremely high-resolution weather model, based on Large-Eddy Simulation (LES), which can produce short-term forecasts for wind speed, solar irradiance or any other meteorological variable on a very fine scale. The forecasts are further optimized by machine learning algorithms and optimal blending with other weather sources to produce accurate short-term wind- and solar power production forecasts.
The wake effects within an offshore wind farm are displayed in the video, where the wind speed deficit becomes clearly visible by the green colors. This unique information is used within our power forecasts pipelines.
Whiffle’s model can capture wind turbine wake effects, increases the forecast accuracy in complex terrains and incorporates all effects from the surroundings. Furthermore, the cloud resolving atmospheric model can accurately capture local clouds in all their varieties, and coupled to detailed calculations of the solar radiation, our technology can produce realistic forecasts of solar irradiance at unprecedented resolution. This unique and precise information is used and further optimized by machine learning algorithms to produce more accurate wind- and solar power production forecasts which can fully tailored to the customers’ needs.
More accurate wind- and solar power production forecasts are of direct value to energy traders, operators, owners and utilities in order to lower imbalance costs and to optimize profits of renewable energy assets.