Hive Power provided AIL with a comprehensive solution that included: optimisation of individual PV production and flexibility forecasts algorithms that maximised the efficiency

Numerical Weather Prediction uses models to forecast weather events that might impair the sustainability of renewable energy sources.

How can energy suppliers in Europe grow their profits and adapt their economics through exciting new technologies?

Globally, wind energy supply has expanded averagely by 21% annually since 2008 as more countries are implementing it commercially.

Renewable energy forecasting and scheduling properly manage demand based on highly accurate predictions by forecasting models using machine learning techniques

Hive Power decided to conduct an internal research study to review and select the most performant numerical weather prediction provider.