As the energy system is becoming more complex and weather-dependent, weather forecasts are of essential importance for transforming the energy landscape towards decarbonization. In this project, we combine probabilistic numerical weather prediction with machine learning algorithms in order to provide optimized decision-support for green energy production and consumption.

Probabilistic forecasting

Improve probabilistic short-range weather forecasts for the energy system.

Optimized energy systems

Optimize forecasts for energy systems and increase energy efficiency with data-driven machine-learning algorithms.

Data format standardisation

Create standardized data format and tools for data exchange and digital platforms.

New business models and value chains

Exploit the new value chain in the transnational market