Whiffle is a leading provider in high resolution weather forecasting modeling. Optimised by artificial intelligence and machine learning, we offer the world's first operational weather model based on Large Eddy Simulation (LES). The calculations of the weather model are run on graphic processing units (GPUs), allowing local turbulence and underlying processes and conditions in the atmosphere to be captured in greater detail.

Whiffle's highly advanced weather model makes renewable energy production more predictable. The technology is of great value to the energy sector because better forecasts reduce the costs of weather risks. More accurate weather forecasting lowers imbalance prices for energy companies which has a direct effect on their margins. The model can also be used to optimise the configuration of wind farms and better predict future energy yields. This could result in higher yields and lower financing costs. Weather forecasts and wind simulations are of crucial importance to various players in the sector, including energy traders, wind farm owners and developers.