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Dipl.-Phys. David Bernecker

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Improving the reliability of renewable energies by using methods from computer vision and pattern recognition.

Research Motivation

In recent years, the percentage of renewable energies in the total power production has increased steadily. Along with new types of power plants, new problems emerged of how these power plants can be efficiently integrated into the existing power grid.

While the power production of conventional power plants can be influenced and controlled, the power production of e.g. solar power plants depends on uncontrollable influences like the current weather.

We therefore work on developing new forecast systems that can predict the power output of solar power plants by analyzing the current weather conditions.

Research interests

  • Tracking
  • non-rigid Registration