A method for determining degradation of a capacitor in an electric meter includes, charging the capacitor to a predetermined voltage value during a charging period using charging circuitry of the electric meter, discharging the capacitor, during a discharge period, from the predetermined voltage value using discharging circuitry of the electric meter, measuring, during the discharge period, a first capacitor voltage value at a first time and a second capacitor voltage value at a second time later than the first time using capacitor measurement circuitry of the electric meter, determining, by a processor of the electric meter, a capacitance value of the capacitor based on the first voltage value, the second voltage value, the first time, and the second time, comparing the determined capacitance value to a capacitance threshold value, and determining that the capacitor is in a degraded condition when the calculated capacitance value is below the capacitance threshold value.

An electrical circuit protecting an electrical utility meter used in connection with an electrical supply connection having a plurality of phases is disclosed. The circuit includes a plurality of voltage transformers, each of the plurality of voltage transformers electrically connected between one of the plurality of phases of the electrical supply connection and an input power connection of an electrical meter, and an electrical connection of the electrical meter dedicated to a power supply of the electrical meter.

In accordance with an example embodiment, a solar energy system comprises: a solar energy structure comprising photovoltaic solar panels contiguously covering an area; a first inverter configured to receive power from a first string of photovoltaic solar panels, wherein the first inverter is configured to provide the power received at the first inverter to a first meter; and a second inverter configured to receive power from a second string of photovoltaic solar panels, wherein the second inverter is configured to provide the power received at the second inverter to a second meter.

The invention relates to an electric meter (1) for measuring the electric consumption of an electric load (R.sub.LOAD), in particular while charging an electric vehicle. The electric meter according to the invention has a current measuring device (11) in order to measure a charging current (I.sub.LOAD) which flows through a charging cable (7) to a transfer point (9, 10) for the load (R.sub.LOAD), wherein the transfer point (9, 10) is preferably located in a plug (8) of the charging cable (7). Furthermore, the electric meter (1) according to the invention includes a voltage measuring device (12) for measuring a voltage. According to the invention, the voltage measuring device (12) measures the voltage directly at the transfer point (9, 10) of the charging cable (7) in order to determine line losses in the charging cable (7), in particular in order to take into consideration the line losses when calculating the consumption.

A method for identifying an electric water heater having excessive and abnormal electricity consumption for detecting inefficiency or even a malfunction comprising the following steps: The present invention provides a method for automatic detection of inefficient household heater within a group of monitored households, implemented by a server module and a plurality of household client modules, wherein each of said a server module and plurality of household client modules comprising one or more processors, operatively coupled to non-transitory computer readable storage devices, on which are stored modules of instruction code, wherein execution of said instruction code by said one or more processors implements the following actions: acquiring data relating to each monitored household, including at least part of: environmental conditions, power consumption of each water heater, household profile parameters, and household residents' profile parameters; detect events wherein the water heater's power consumption (P) surpasses a predefined threshold (Pth), and henceforth label said detected events as “water heater activation” events; For each house (i) in the training set, and per each consumption day (d), define a binary label L.sub.id. Said label marks the water heater's activity as either ‘Normal’ or ‘Abnormal’ per house i and day d. Initialize all labels as ‘normal training a machine learning algorithm, to create at least one classification model, wherein all monitored households are classified according to said acquired data and parameters; and Using the Activation Events Classification Model after the training stage, to predict the binary label, L.sub.id, or number activation per day that a specific household (i), from beyond the household training set has surpassed a predefined number of water heater activation events (n) within a day.

An ingress protection assembly for leading a wire, such as a signal and/or a supply line, through a partition wall of an electrical device is provided. The ingress protection assembly includes a first wall section provided with a receiving slot extending through the first wall section in a lead-through direction and opening at an inlet facing in an assembly direction of the ingress protection assembly; and a second wall section provided with a counter slot extending through the second wall section in the lead-through direction and opening at a counter inlet facing against the assembly direction, wherein at least in a fully assembled state of the ingress protection assembly, the first wall section and the second wall section are at least partially superimposed in a projection along the lead-through direction such that the receiving slot and the counter slot together form an aperture configured for tightly encompassing the wire.

A transformer area identification method determines a corresponding electric meter mounting relationship by identifying a power jump characteristic based on a power statistic of each node in a power supply network of a transformer area, thereby eliminating the influence of line loss power and increasing identification accuracy. In addition, the identification is performed based on change characteristics of unidentified total power and power of an electric meter in a to-be-identified domain, to reduce interference of a power fluctuation of an identified electric meter to the identification and increase the identification accuracy. Moreover, iterative identification is used, so that the to-be-identified domain is smaller and a convergence speed is faster. The transformer area identification method uses a power jump algorithm to identify the transformer area, thereby eliminating the influence of the line loss power and increasing the identification accuracy.

A utility meter includes: a rectifier configured to rectify AC voltage from a power grid to generate a primary DC voltage supply; and a primary holdup circuitry, including: first capacitors coupled to a primary DC voltage rail and configured to store energy from the primary voltage supply; a switch coupled to the first capacitors; and a control circuit configured to control the primary holdup circuitry, wherein the control circuit is configured to: determine that a secondary DC voltage of a secondary voltage supply is approximately equal to a first specified threshold voltage; and generate a control signal to causes the switch to turn on and cause the one or more first capacitors to release a portion of the energy stored in the one or more first capacitors to the primary DC voltage rail.

An implementation of a utility meter is connected to a resource and to a customer premises. The utility meter includes a sensor, a converter, and a radio. The sensor is configured to detect a characteristic of resource usage by the customer premises. The converter is configured to convert the characteristic to raw consumption data describing the resource usage. The radio is configured to transmit the raw consumption data output by the converter to a remote processing system. The remote processing system includes one or both of a fog and a cloud. The fog is associated with a geographic region of the utility meter and performs data processing on the raw consumption data and on regional raw consumption data received from other endpoints in the geographic region. The cloud performs data processing on the raw consumption data as well as on data received from other endpoints across various geographic regions.

A load-side voltage detection module for a metrology device includes a plurality of first resistors electrically coupled to a first load-side terminal, the first resistors being in series, a plurality of second resistors electrically coupled to a second load-side terminal, the second resistors being in series, a voltage divider electrically coupled between a first line-side terminal and a second line-side terminal, the voltage divider creating a reference voltage for the load-side voltage detection module, and a pulse generator to generate a pulse based on detection of voltage, the pulse indicating a voltage on at least one of the first load-side terminal or the second load-side terminal, above at least one threshold.