Detection circuitry for an integrated circuit (IC) includes voltage divider circuitry, comparison circuitry, and calibration circuitry. The voltage divider circuitry receives a power supply signal and output a first reference voltage signal and a supply voltage signal based on the power supply signal. The comparison circuitry compares the first reference voltage signal and the supply voltage signal to generate an output signal. The calibration circuitry alters one or more parameters of the voltage divider circuitry to increase a voltage value of the supply voltage signal based on the comparison of the first reference voltage signal with the supply voltage signal.

A method for detecting non-technical losses in an electrical power system includes measuring an area under a squared RMS current curve for a power cable in the electrical power system over at least one time interval, measuring an active and a reactive energy for the power cable over the at least one time interval, and characterizing a cable reactance and a cable resistance using the active energy, the reactive energy, and the area under the squared RMS current curve. The method further includes determining an active energy loss and a reactive energy loss over the at least one time interval using the area under the squared RMS current curve and the reactance and the resistance of the cable, and detecting a non-technical loss in the electrical power system based on the active energy loss and the reactive energy loss over the at least one time interval.

Methods and system for detecting tampering of a meter. A continuous stream of raw sensor values can be received from one or more meters among a group of meters. In response to receiving the continuous stream of raw sensor values from the meter(s), a model of normal sensor values can be automatically constructed for each meter among the group of meters based on the raw sensor values obtained from the meter(s) and based on data obtained through an ongoing development of the meter(s) or through automated machine learning by the meter(s). The model of normal sensor values can be used to detect abnormal conditions with respect to the meter(s). The abnormal conditions detected with respect to the meter(s) are potentially indicative of a removal of the meter(s) or of an attempt to physically tamper with the meter(s).

A utility meter assembly having a base that is secured to a front cover. The assembly includes a dual locking system having a first locking position and a second locking position. In the first locking position, the front cover is removably secured with the base. In the second locking position, the front cover is permanently secured with the base to prevent separation of the two components unless one or both components are destroyed.

Systems, apparatuses, methods, and computer program products are disclosed for power theft detection. An example method includes receiving, by a control system, telemetry data from a transformer adjacent to a customer premise and a meter at the customer premise and storing, by the control system, the telemetry data in a memory. The example method further includes calculating, by the control system and using the telemetry data, a change in impedance in an electric line segment between the transformer and the meter, and determining, by the control system, whether the change in the impedance in the electric line segment is anomalous. Corresponding apparatuses and computer program products are also disclosed.

A power estimation method is implemented in a three-phase electricity meter, and includes the steps of: detecting a fraud falsifying a first voltage measurement on a first phase; acquiring a second voltage measurement on a second phase, the second voltage measurement not being falsified by the fraud; estimating a first phase shift between the first phase voltage and a first phase current, by using a first phase shift estimation between the first phase voltage and the second phase voltage; estimating at least one first electrical power consumed on the first phase from a first current measurement on the first phase, of the second voltage measurement, and of the first phase shift.

Power estimation method, implemented in a three-phase electricity meter, includes the steps of detecting a fraud which falsifies measurements of a first phase voltage present on a first phase, without falsifying measurements of a second phase voltage present on a second phase; reconstituting first estimated voltage samples, images over time of the first phase voltage, from second voltage samples, images over time of the second phase voltage; and estimating at least one first electrical power consumed on the first phase by using the first estimated voltage samples.

Techniques for implementing a fault-tolerant power supply are described. In an example, a system converts an alternating-current (AC) voltage to an initial direct current (DC) voltage. The system further converts the initial DC voltage to a first DC voltage and a second DC voltage. The system applies the first DC voltage to a high-priority device such as a metrology device. The system applies the second DC voltage to a low-priority or peripheral device. When the initial DC voltage is outside a voltage range, the system deactivates the second DC voltage to the lower-priority device and maintains the first DC voltage to the metrology device.

A method for detecting electric meter installation issues includes: determining an initial orientation of an electric meter based on initial acceleration measurements from an accelerometer positioned in the electric meter. Subsequent acceleration measurements from the accelerometer may be continuously monitoring, and a subsequent orientation of the electric meter may be determined based on the subsequent acceleration measurements. A difference between the initial orientation and the subsequent orientation based on the initial acceleration measurements and the subsequent acceleration measurements may be determined and compared to a threshold value. Based on the difference exceeding the threshold value, a notification of a change in orientation of the electric meter may be generated to a head-end system.

A method, a system and a tangible product and non-transitory computer program are provided to automatically identify electrical installations in an electrical distribution system that are likely to exhibit an electrical non-conformity (ENC). The method requires only electrical profiles collected from meters and IT tools, without the need for any other sub-metering equipment. The method includes the steps of recovering electrical profiles generated by the meters; applying algorithmic processing associated with indicators of an ENC on the profiles; and identifying electrical installations likely to exhibit an ENC, according to the indicators that have met their target conditions. The method may include the recovery of local meteorological data and nominal data related to the electrical installations to confirm or deny that the identified electrical installations are likely to be non-conforming.