Dr. Helmut Bergstein

Gridhound has developed an innovative software solution for power distribution system operators (DSO) that can learn, monitor and predict, the behavior of power distribution systems even in real-time.Gridhound’s proprietary solution is based on patent pending machine learning algorithms that originate from the Institute for Automation of ComplexPower Systems at RWTH Aachen University. The Artificial-Neural-Networks-based system provides grid state estimation and monitoring functions. It has a significantly better performance and up to 50% lower cost of ownership than traditional solutions. Moreover, Gridhound’s software allows improving the grid’s transport capacity thus avoiding expensive grid extension.