Various embodiments disclosed herein provide techniques for detecting hot socket conditions in an electrical system. A hot socket application executing on a utility electricity meter acquires, via a power line communications (PLC) modem, first signal readings associated with a utility electricity meter. The hot socket application acquires, via a radio frequency (RF) transceiver, second signal readings associated with the utility electricity meter. The hot socket application performs one or more operations on the first signal readings and the second signal readings to determine whether a hot socket condition is present. The hot socket application performs a remedial operation in response to determining that the one or operations indicate that the hot socket condition is present.

A utility meter includes a consumption measurement unit for generating consumption data, a meter processor, and a RTC for time stamping the consumption data to provide interval meter data during interval meter operation. A memory stores the interval meter data. The meter processor implements/initiates responsive to a power loss that suspends RTC operation, switching from interval to relative time operation where consumption data is stored as relative consumption data together with a relative time as relative meter data. Responsive power restoration and receiving a current time, the meter switches from relative time to interval meter operation. The restoration time is calculated using the current and an elapsed time since the restoration. The time of restoration and current time is used to generate calculated times. The consumption data from relative time operation is time stamped with the calculated times to provide time-corrected relative meter data that is stored to the memory.

An adjusting power measuring apparatus includes: a processor that: acquires an active power measurement value of active power exchanged at a connection point between a targeted power grid and an adjusting power supply source that supplies adjusting power to the targeted power grid, acquires a frequency measurement value of frequency at the connection point, calculates, based on the active power measurement value and the frequency measurement value, a first adjusting power coefficient indicating a degree of influence that fluctuation in the active power has on fluctuation in the frequency, calculates, based on the first adjusting power coefficient and a fluctuation measurement value of the fluctuation in the frequency, the adjusting power supplied from the adjusting power supply source to the targeted power grid, and determines, based on the calculated adjusting power, compensation to be paid to an owner of the adjusting power supply source.

A system for monitoring power flow at a premises can include a smart meter that measures coarse power flow data for the premises. The coarse power flow data characterizes power consumption and/or power generation. The system can also include a power data recorder having a first transceiver that communicates with the smart meter via a first protocol. The power data recorder can have a second transceiver that communicates with a node on a data mesh network via a second protocol. The smart meter transmits the coarse power flow data to a node on a meter mesh network in response to polling for the coarse power flow data, and the smart meter transmits the coarse power flow data to the power data recorder via the first protocol in response to detecting a fault condition or after a time interval has expired. The power data recorder encapsulates the coarse power flow data.

Techniques for hot socket detection are disclosed. In an example, a meter includes a current transformer with a secondary bifilar winding. The meter is in proximity to a current coil. The secondary bifilar winding includes a first bifilar winding and a second bifilar winding. A start lead of the first bifilar winding is connected to a start lead of the second bifilar winding. The meter further includes a voltage source configured to generate a direct current (DC) voltage signal. The DC voltage signal is provided to a finish lead of the first bifilar winding. A first sense resistor is connected between a finish lead of the second bifilar winding and ground. A processing circuit receives a signal indicating a voltage across the first sense resistor and determines a temperature associated with the current coil. The processing circuit is further configured to detect a hot socket condition based on the temperature.

A system for monitoring power flow at a premises can include a smart meter that measures coarse power flow data for the premises. The coarse power flow data characterizes power consumption and/or power generation. The system can also include a power data recorder having a first transceiver that communicates with the smart meter via a first protocol. The power data recorder can have a second transceiver that communicates with a node on a data mesh network via a second protocol. The smart meter transmits the coarse power flow data to a node on a meter mesh network in response to polling for the coarse power flow data, and the smart meter transmits the coarse power flow data to the power data recorder via the first protocol in response to detecting a fault condition or after a time interval has expired. The power data recorder encapsulates the coarse power flow data.

A power monitoring device (PMD) can perform real-time remote managing, status reporting and analysis on the health/condition of equipment connected to the PMD. For example, a PMD provides data such as whether the equipment connected is idling, fully operating, malfunctioning, etc. The PMD can turn the power on/off, trigger system alert, and perform time-delayed or special profile programming to manage and monitor equipment usage. A power signature identification capability can identify what equipment such as monitor, laptop, lighting equipment, etc., are being connected. A configuration can be used by the power management device based at least in part on the waveform information (e.g., device model, activity status, etc.). Real-time diagnosis and collection of energy consumption and usage pattern can be aggregated for planning and management. Asset management can be enabled by discovering which models of devices are active and connected to a predetermined power management device.

A method for electrical arc detection in an electrical connection between an electric meter and a socket is provided. The method may include receiving a vibration signal from a vibration sensor and an arc detection signal from an arc detector. The vibration signal may be correlated in time with the arc detection signal. An electrical arc may be detected based on the correlating the vibration signal with the arc detection signal.

Methods and systems for detecting a neutral voltage connection, involve determining when a value of a neutral current is equal to zero, wherein the neutral current comprises a difference between a current flowing through two legs of an electrical meter to an end customer, wherein each of the two legs comprises a first voltage with respect to a ground and a second voltage with respect to one another; and verifying that the neutral current has been detected to zero, in response to determining that the value of the neutral current is equal to zero.

A device for evaluating aspects of health of a residential property configured to: (i) receive a first element of internal home health data captured by one or more smart devices installed within a residential property, the first element of internal home health data reflecting an aspect of operational quality of one or more assets of the residential property; (ii) determine a safety score based upon the first element of internal home health data; (iii) receive a second element of internal home health data captured by the one or more smart devices; (iv) determine a home health score based upon the first or second elements of internal home health data, the home health score representing a measure of health of the residential property; and (v) cause to be displayed, to a homeowner via a graphical user interface, a home health evaluation that includes the safety score and the home health score.