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Data is seen as one of the decisive accelerators of the advancing energy transition. The large amounts of data (big data) occurring in the energy industry are not only characterized by their sheer volume and the necessary processing speed, but above all by their extremely different structure, so that merging, combining and visualizing this data is by no means trivial.
With this consumer platform, a powerful core system is used to implement any data correlations, both for use cases in the energy sector and beyond. Behind this core system is a Search Based Application (SBA) that was developed on an open source basis.
In the local energy mix, the theoretically maximum possible energy generation from solar and wind energy is forecast on a postcode basis. Data analyzes for industrial companies have also already been implemented: For example, a scenario for production planning was implemented in which certain energy-intensive process steps can be postponed in times of high availability of renewable electricity.