Sustainable energy supply in the private sector remains a key challenge of the energy transition. The research group around Dr. Konstantin Hopf at the University of Bamberg’s Bits-to-Energy Lab has been investigating the effective use of advanced data analytics and machine learning (ML) in this area for several years. The developed methods help to use available energy data streams for the dissemination of sustainable energy products. In this way, energy providers can identify households that are eligible for a photovoltaic system or heat pump, for example, or those that are interested in regional electricity products, or those for whom energy consulting seems to make sense.
This work is now being continued in two newly acquired research projects.
