Abstract: To ensure safety of people needing to service a low-voltage network of an electric power distribution system, dwellings being connected to this network may include autonomous units for producing electricity, thus generating voltage and endangering the people servicing the work. Data are obtained from consumption records from the meter of each dwelling, in regular time intervals, and meteorological data are also obtained in the geographical area of these dwellings, in order to identify at least some weather conditions conducive to the production of energy by autonomous units. A model is then applied for detecting, based on the first and second data, a coincidence between periods of lower consumption measured by a meter and weather conditions conducive to electricity production by autonomous units during these periods. Therefore, information on the presence of autonomous units in the dwelling can be deduced and given to people before their servicing.

Abstract: To ensure the safety of people needing to service a low-voltage network of an electric power distribution system, the dwellings connected to this network may include autonomous units for producing electricity (PV1, . . . , PVn), thus generating voltage and endangering the people servicing the work. A step is therefore provided for obtaining first data from consumption records from the meter (C1, . . . , Cn) of each dwelling, in regular time intervals, and second data (MET) which are meteorological data in the geographical area of these dwellings, in order to identify at least some weather conditions conducive to the production of energy by autonomous units. A model is then applied for detecting, based on the first and second data, a coincidence between periods of lower consumption measured by a meter and weather conditions conducive to electricity production by autonomous units during these periods.