A power meter includes a sampling circuit configured to initially make electrical measurements of a unit under test at a first sampling frequency. The power meter includes an adaptive circuit. The power meter includes an accumulator configured to accumulate electrical measurements of the unit under test from the sampling circuit. After a change in sampling frequency from the first sampling frequency to a second sampling frequency, the sampling circuit makes second electrical measurements at the second sampling frequency. The adaptive circuit is configured to adjust the second electrical measurements from the sampling circuit according to a factor. The factor is based on a relationship between the first sampling frequency and the second sampling frequency. The adjustment yields adjusted second electrical measurements. The accumulator is further configured to accumulate the adjusted second electrical measurements.

An electric energy meter includes a plurality of first terminals for receiving a measure of current of each of one or more phases of power and a plurality of second terminals for receiving a measure of voltage of each of one or more phases of power. A controller is configured to analyze the measure of current and the measure of voltage of each of the one or more phases of power in order to detect power quality issues in one or more of the one or more phases of power. For each of the detected power quality issues, the controller is configured to determine whether the detected power quality issue is caused by a utility generating the power or a consumer consuming the power and to communicate a message indicating the detected power quality issues via a communications port operably coupled to the controller.

An energy monitoring system is provided including a device such as an inductive clamp associated with an electric circuit and configured to measure current load of the electric circuit and an energy monitoring device. The energy monitoring device comprises a processor and a memory including computer program code, the memory and the computer programming code configured to, with the processor, cause the monitoring device to receive circuit data including the measured current from the inductive clamp, determine a Power Set for one or more intermittent loads associated with the electric circuit based at least in part on the circuit data, determine a solution for the circuit data based on determined Solution Sets of the Power Set, and determine an energy usage for an appliance based on the solution.

An energy monitoring system is provided including a device such as an inductive clamp associated with an electric circuit and configured to measure current load of the electric circuit and an energy monitoring device. The energy monitoring device comprises a processor and a memory including computer program code, the memory and the computer programming code configured to, with the processor, cause the monitoring device to receive circuit data including the measured current from the inductive clamp, determine a Power Set for one or more intermittent loads associated with the electric circuit based at least in part on the circuit data, determine a solution for the circuit data based on determined Solution Sets of the Power Set, and determine an energy usage for an appliance based on the solution.

Energy usage of a plurality of appliances is measured using a single meter. A pattern of energy usage with respect to the plurality of appliances is determined dependent upon the measured energy usage, appliance details of the plurality of appliances, and usage hours of the plurality of appliances. The pattern is provided to a user of the appliances.

An intelligent electric meter includes metering components for measuring energy consumption by one or more devices used by a customer in a building, a controller electrically coupled to the metering components and structured to control operations of the metering components and receive energy consumption data based on the measured energy consumption from metering components, a software device electrically coupled to the controller and structured to instruct the controller to monitor the energy consumption data, calculate energy consumption charges for the customer based at least in part on the energy consumption data, and generate a bill and energy usage data for a predefined period, and a communication device electrically coupled to the controller and the software device and structured to transmit the bill and energy usage data to the customer via a defined communications channel.

An intelligent electric meter includes metering components for measuring energy consumption by one or more devices used by a customer in a building, a controller electrically coupled to the metering components and structured to control operations of the metering components and receive energy consumption data based on the measured energy consumption from metering components, a software device electrically coupled to the controller and structured to instruct the controller to monitor the energy consumption data, calculate energy consumption charges for the customer based at least in part on the energy consumption data, and generate a bill and energy usage data for a predefined period, and a communication device electrically coupled to the controller and the software device and structured to transmit the bill and energy usage data to the customer via a defined communications channel.

A technique is described for metering signals transmitted from a variety of frequency bands. As an example, receiving, at the software-defined multiband power meter, a first selection of a first modulation scheme corresponding to a first frequency range, configuring the software-defined multiband power meter to accept detection of a first set of one or more signals within the first frequency range, wherein the software-defined multiband power meter is configured to isolate the first set of one or more signals of the first frequency range, detecting the first set of one or more signals within the first frequency range, measuring a first signal quality of the first set of one or more signals, and transmitting one or more data packets identifying at least one signal quality measurement of the first set of one or more signals.

A technique is described for metering signals transmitted from a variety of frequency bands. As an example, receiving, at the software-defined multiband power meter, a first selection of a first modulation scheme corresponding to a first frequency range, configuring the software-defined multiband power meter to accept detection of a first set of one or more signals within the first frequency range, wherein the software-defined multiband power meter is configured to isolate the first set of one or more signals of the first frequency range, detecting the first set of one or more signals within the first frequency range, measuring a first signal quality of the first set of one or more signals, and transmitting one or more data packets identifying at least one signal quality measurement of the first set of one or more signals.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load forecast by predicting load measurements at future time points, wherein a load measurement at a time point characterizes a cumulative measure of energy consumption by a population of energy consuming devices at the time point. In one aspect, a method comprises: generating an input load array that includes a respective load value for each of a plurality of time points, wherein: for a plurality of previous time points, the input load array includes load values for the previous time points that define load measurements at the previous time points; and for a plurality of future time points, the input load array includes load values for the future time points that are masked values; and processing the input load array using a load forecasting model to unmask the masked values corresponding to the future time points, comprising generating an output that defines, for the plurality of future time points, predicted load measurements at the future time points.