Data analytics for AMM data processing
ČEZ Distribuce, a.s.
New estimation algorithm was designed and tested – is has 15% better precision results than actually used by DSO.
Machine learning algorithm for anomaly detection was successfully tested on smart meter measurements and events concerning tariff and relay switching. Several problems of used meters and concentrators were discovered by using this method.
Smart metering data value metric was designed. It calculates value of collected data and can help to define which data to collect from smart metering.
Algorithm for estimation of the order in which phases are connected at individual connection points was successfully tested.