“Tremendous potential in self-learning systems”

26.03.2019

The “ZfK”, short for “Zeitung für kommunale Wirtschaft”, stands for the leading medium for municipal utilities as well as supply and disposal companies in Germany. One of the editors, Stephanie Gust, conducted an interview with Maik Neubauer, one of the two managing directors of TSCNET Services, which has now been published with the latest issue under the rubric “Nachgefragt” (“Enquired”).

In addition to the company’s role and tasks in the operation of the European electricity transmission grid, the talk also focuses on the potential of so-called Artificial Intelligence (AI). “At present, AI does not play a major role with us,” Neubauer regrets. Although the Munich-based Regional Security Coordinator (RSC) “works with very complex algorithms and mathematical models to calculate network bottlenecks or available capacities”, but “these systems are not yet self-learning” and do not yet issue reliable forecasts based on empirical values. “Here I see a very high potential for risk analysis in the future – both at the transmission grid level and in the distribution grids,” explains Neubauer. Due to the courtesy of the publishing house, we can offer the entire text (in German) here.

Maik Neubauer interviewed by “ZfK”, the German trade journal on municipal economy

Linkup
> Open “ZfK” interview, in German (pdf, 216kb), with kind courtesy of VKU Verlag GmbH, Munich
> Visit “ZfK” webpage (html)