// Regional AI Lab for Renewable Energies

The ZSW has been doing research work in the field of artificial intelligence, machine learning and neural networks for more than 20 years. Examples of the various projects include AI-based power forecasts for wind farms and solar energy plants, research into the role of power-to-gas in the future supply of electricity or the use of machine learning methods to optimise production processes for batteries, fuel cells and photovoltaic modules. Time has also been spent looking into the use of AI for more efficient production of renewable hydrogen and methane.
The ZSW won a state tender with the project “Regional AI Lab for Renewable Energies” (KI-lab.EE). The AI Lab went into operation in April 2020 and the main focus of its work is to help small and medium-sized companies in Baden-Württemberg to develop new services and products using AI methods.

The ZSW experts run workshops as part of the project for companies with an interest in the subject, working with them to develop applications which serve as examples of the possible ways in which they might make use of artificial intelligence and machine learning. By way of follow-up, AI experts from the ZSW then visit the companies to move to the practical outworking of methods geared to their individual requirements.

Those involved in the project include Böblingen-based weather and energy forecast service provider WEPROG GmbH, Stuttgart-based engineering service provider MesH Engineering GmbH, and thin-film module manufacturer NICE of Schwäbisch Hall.

Coating line for CIGS thin-film solar modules at ZSW Stuttgart
Coating line for CIGS thin-film solar modules at ZSW Stuttgart. (Photograph: ZSW)
Artificial intelligence CIGS solar modules
Artificial intelligence and machine learning will also be able to optimise the production of CIGS solar modules in the future. (Photograph: ZSW)


Dr. rer. nat. Frank Sehnke
+49 711 78 70-303

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