Worldwide data volume is increasing in the course of digitalization. As in other areas the energy sector is producing growing amounts of available data. This can be attributed in part to an increase of installed measurement infrastructure, but also due to publicly accessible data sets. The visualization of data is a central component when it comes to making information usable, drawing conclusions and being able to initiate measures. With the help of suitable visualization techniques, results and correlations can be presented in a way that is comprehensible to human observers. Through a uniform understanding of complex data sets, transparency can be created within projects, companies or in society.
The energy sector produces diverse and extensive data sets within which complex interrelationships must be processed and interpreted. These include, for example:
By combining expertise in the fields of energy and IT, the Fraunhofer Center Digital Energy offers services that include upstream and downstream processes in addition to the visualization of this data. Upstream processes include, for example, the validation of data sets and the elimination of data errors. In addition, in many areas, such as network data, different data standards or proprietary solutions are used. Therefore, it is part of our services to process and visualize different data formats in order to ensure maximum compatibility with preexisting data. Downstream processes include the interpretation of data and the derivation of recommendations for action.