A watt-hour meter may include one or more electrical junction points that interface a Distributed Energy Resource to an energy-consuming structure and to the electrical distribution grid, while maintaining compliance with interconnection requirements for safety, power quality and automatic disconnect capabilities.

The present disclosure relates to the control of an operation of a monitor module of an electrical measurement system, where the monitor module has a plurality of operating states, including a) monitor at least a first measurement sensor of the utility meter to determine a first monitor result comprising an estimate of a transfer function of the first measurement sensor and a corresponding certainty value indicative of the accuracy of the estimate of the transfer function of the first measurement sensor, wherein the first measurement sensor is for measuring a first electrical property, and b) do not monitor any measurement sensor of the electrical measurement system.

A method for managing the operation of an AC power distribution network to which connect a plurality of electric vehicles, at random times and at random locations to receive electrical energy for charging. The AC power distribution network is characterized by a dynamic state of balance between power generation and load, and it has an operating reserve which is a supplemental power generation capacity available to the AC power distribution network. The method includes the step of forecasting a power-supply contribution that would be available to the AC power distribution network from the electric vehicles connected to the AC power distribution network in the event the AC power distribution network experiences a state of imbalance resulting from a power-generation deficit. The method further includes adjusting the magnitude of the operating reserve on the basis of the forecasting.

Method for detecting a sag in a phase voltage, including the steps of: measuring, upstream of a switching member and at regular intervals, the phase voltage and a phase current flowing through a phase conductor; when the phase voltage falls below a predetermined voltage threshold, opening the switching member; subsequent to opening the switching member, if the phase voltage returns to a normal voltage value defined according to the phase current, detecting a malfunction of the electricity meter, generating a warning message, and keeping the switching member open; subsequent to opening the switching member, if the phase voltage remains below the predetermined voltage threshold, detecting a sag in the phase voltage, generating an alert message, and closing the switching member.

A computer-implemented method for power grid anomaly detection using a convolutional neural network (CNN) trained to detect anomalies in electricity demand data and electricity supply data includes receiving (i) electricity demand data comprising time series measurements of consumption of electricity by a plurality of consumers, and (ii) electricity supply data comprising time series measurements of availability of electricity by one or more producers. An input matrix is generated that comprises the electricity demand data and the electricity supply data. The CNN is applied to the input matrix to yield a probability of anomaly in the electricity demand data and the electricity supply data. If the probability of anomaly is above a threshold value, an alert message is generated for one or more system operators.

A system for energy metering with temperature monitoring that includes a plurality of current sensors, suitable to sense a changing current in a respective power cable, that provide a respective first output. The energy metering system includes a support and current sensors interconnected to the support at spaced apart locations along the support. A temperature sensor that provides a second output and is interconnected to the support. The energy metering system receives the respective first output and the second output and determines characteristics of the energy system based upon the second output.

A method for detecting charging current curves for electric vehicles at charging stations. In the method, a charging current curve is captured at a charging station, and the charging current curve is stored together with a vehicle identification of the charging vehicle. For each respective vehicle identification, a charging current curve at a plurality of charging stations is stored, and for the respective vehicle identification, a present charging current curve can be compared with the stored charging current curves at the plurality of charging stations. In the event of a deviation of the present charging current curve from the stored charging current curves at the plurality of charging stations which is greater than a threshold, a signal is output.

Presented is an electronic meter for supplying driving power to a battery module charged by wireless power transmission. The presented electronic meter includes a usage detection module for detecting energy usage of a consumer, a control module for generating meter data based on the energy usage detected by the usage detection module, a communication module for transmitting the meter data generated by the control module to a meter reading server or a repeater, a battery module composed of a secondary cell, and for supplying driving power to the usage detection module, the control module, and the communication module, and a wireless power receiving module for receiving power wirelessly from a wireless power transmission device to charge the battery module.

A system for energy metering with temperature monitoring.

In an embodiment of the present disclosure, a method for determining power consumption of a unit of a heating, ventilating, and air conditioning (HVAC) system includes providing conditioned air to the unit from an HVAC unit of the HVAC system. The method also includes receiving power data indicative of a total power consumed by the HVAC unit, receiving airflow data indicative of a rate of the conditioned air received by the unit from the HVAC unit, determining a power consumption of the unit based on the power data and the airflow data, and outputting the power consumption of the unit.