From research to application: aimpera creates AI for intelligent energy management

The transformation of energy supply is increasingly presenting grid operators, municipalities and companies with the challenge of managing energy flows flexibly, efficiently and reliably. In addition to expanding renewable generation capacities, the focus is shifting to optimising existing infrastructures – for example, through predictive models and data-based control. One example of this transfer from research to practice is aimpera, a new spin-off from the German Research Centre for Artificial Intelligence (DFKI).

The company emerged from research work in the field of Experience-based Learning systems at DFKI Trier and develops application-oriented AI solutions for organisations with high energy consumption or decentralised energy generation. These include, in particular, municipal utilities, municipal companies, industrial and commercial enterprises, and operators of charging infrastructure for electric mobility. 

The technological foundations were laid in various application-oriented projects in Prof. Ralph Bergmann's research area. These projects utilised machine learning and time series analysis methods that were specifically adapted to the requirements of dynamic energy systems.

This results in a concrete service portfolio with the following focal points:

In the long term, aimpera aims to help close the so-called flexibility gap in the energy system – i.e. the imbalance between fluctuating generation and dynamic consumption. The solutions are designed to enable municipalities, grid operators and companies to use existing infrastructure more intelligently, thereby increasing the energy efficiency, security of supply and sustainability of their systems. 

With aimpera, DFKI is continuing its strategy of responsible technology transfer. The spin-off is a prime example of how scientific developments can be made ready for application and become effective in socially relevant areas.