  Non-technical losses (NTL) in electric power grids arise through electricity
theft, broken electric meters or billing errors. They can harm the power
supplier as well as the whole economy of a country through losses of up to 40%
of the total power distribution. For NTL detection, researchers use artificial
intelligence to analyse data. This work is about improving the extraction of
more meaningful features from a data set. With these features, the prediction
quality will increase.
