This paper analyses time series without the seasonal component of consumers’ power consumption at
low voltage in order to detect fraud and illogical consumption by customers. Statistical process control
is used, where the process represents the process of using electricity. XMR charts are used to indicate
major changes (decrease) in registered customers’ consumption. Verification of this method was tested
on time series of a set of customers who were caught stealing during a time series. It shows that symptoms
of non-random factors in time series of customers are revealed in a high percentage, which indirectly
confirms the method’s ability to successfully detect electricity fraud.