alitiq translates meteorological and non-meteorological influencing factors into a business forecast that you can understand.

With the alitiq engine, we are able to forecast any weather-influenced process. We are currently already calculating forecasts of expected heat demand in district heating networks, flow forecasts for hydropower plants and predictions of expected electricity and gas loads.

alitiq uses a hybrid approach to generate PV forecasts that combines state-of-the-art machine learning techniques with the best numerical weather forecasts from ECMWF, DWD and UWC.

To predict short-term weather changes, alitiq runs its own AI model that uses data available in real time, such as satellite images.

Taking into account the generated output, alitiq adjusts the forecasts to account for known issues such as shadowing, systematic deviations, degradation, snow and much more.

alitiq enables

- the AI-based cost optimisation of your processes
- to identify and optimise weather-related changes to company processes up to 10 days in advance.
- a customised forecast of weather-dependent processes using artificial intelligence.
- a higher forecast quality with artificial intelligence and by adding additional weather information.

By combining our comprehensive expertise in meteorology and data science, we give you the opportunity to act predictively. This makes you more resilient to the influences of weather and climate.