The data-driven approach means the system learns what healthy behavior looks for in specific equipment. When changes start to happen, the ML/AI system can distinguish right away between normal variation and changes that signify a problem.

During the 3-month stage of testing / observation, the monitoring has detected severe flaws in the design and wiring of network equipment, in phase separation of household and industrial equipment. Electricity losses were more than 14% of the autumn months volume.