Carrying out unobserved surveys is an important prerequisite for the user-centered development of innovations. In order to be able to carry out reliable individual investigations in the field, Salzburg Research developed a “Mobile Diary” software framework with partners.
Salzburg Research opened up the potential of telecom diagnostics data for fault diagnostics in the low-voltage grid for an electricity distribution grid operator: with the help of machine learning, the cause of approx. 70 percent of low-voltage grid faults can be automatically detected without additional hardware.