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Success stories

Weather API supports Artificial Intelligence in optimizing power generation and energy networks

Challenge

The demand for and availability of renewable energy is almost entirely dependent on the weather. The increasing complexity arises not only from the varied distribution of consumers and renewable grids, but also from the increase in self generation and uptake in electric vehicles, which are increasingly affecting both energy networks and energy producers.

Solution

Combined with the breadth of high-quality data available (global historical, real-time and forecast data) and its ease of use, the Meteomatics Weather API allows for the flexible integration of weather data into the optimized processes necessary for Artificial Intelligence.

Result

By using the robust and performant Meteomatics Weather API, it is now possible to supplement and augment the artificial intelligence ifesca.AIVA of the ifesca GmbH with high-resolution and high-quality weather data, so that energy forecasts and network stability can be significantly improved automatically.