A method of automatically detecting electrical installations likely to exhibit an electrical non-conformity on an electrical distribution system, the electrical installations (110, 112) being connected to meters, the method comprising the steps of: a) retrieving, from a meter data management system, electrical profiles associated with the electrical installations, the profiles being generated by said meters deployed by electrical utilities for billing purposes, the profiles being spread over time; the method being characterized in that it comprises the steps of: b) recovering nominative data characterizing the electrical installations from a database, the nominative data comprising, for each of the electrical installations, at least one of: - whether the electrical installation is single-phase or polyphase; - tariffs to which the electrical installation is subject; - vocation of the building(s) associated with the electrical installation, among residential, commercial, institutional or industrial; and - main source of energy used to heat the building(s), c) selecting at least some of the NCE indicators to be applied to the profiles according to the information contained in the nominative data, from among non-technical positioning indicators, state indicators or non-technical loss indicators; d) applying, using IT tools, algorithmic processing associated with the selected NCE indicators, according to target conditions, to the electrical profiles recovered in step a), to obtain data indicative of different types of NCE; e) identify, from the data obtained in step d), said electrical installations likely to exhibit NCE, when the target conditions are met; f) confirming or denying that the identified electrical installations are indeed likely to present an NCE, by cross-referencing said nominative information with the NCE indicators that have met their target conditions; and g) generating a results structure comprising the data indicative of the different types of potential NCE identified for each confirmed electrical installation, said method requiring only the electrical profiles generated by the meters and IT tools to identify electrical installations likely to be non-compliant, without recourse to any other sub-metering equipment. a) retrieving, from a meter data management system, electrical profiles associated with the electrical installations, the profiles being generated by said meters deployed by electrical utilities for billing purposes, the profiles being spread over time; b) recovering nominative data characterizing the electrical installations from a database, the nominative data comprising, for each of the electrical installations, at least one of: - whether the electrical installation is single-phase or polyphase; - tariffs to which the electrical installation is subject; - vocation of the building(s) associated with the electrical installation, among residential, commercial, institutional or industrial; and - main source of energy used to heat the building(s), - whether the electrical installation is single-phase or polyphase; - tariffs to which the electrical installation is subject; - vocation of the building(s) associated with the electrical installation, among residential, commercial, institutional or industrial; and - main source of energy used to heat the building(s), c) selecting at least some of the NCE indicators to be applied to the profiles according to the information contained in the nominative data, from among non-technical positioning indicators, state indicators or non-technical loss indicators; d) applying, using IT tools, algorithmic processing associated with the selected NCE indicators, according to target conditions, to the electrical profiles recovered in step a), to obtain data indicative of different types of NCE; e) identify, from the data obtained in step d), said electrical installations likely to exhibit NCE, when the target conditions are met; f) confirming or denying that the identified electrical installations are indeed likely to present an NCE, by cross-referencing said nominative information with the NCE indicators that have met their target conditions; and g) generating a results structure comprising the data indicative of the different types of potential NCE identified for each confirmed electrical installation,