A computer system analyzes data from smart meters. The computer system can, for example, analyze the data from a smart meter to determine if the smart meter is connected to a different distribution transformer, if the smart meter is at a customer site where power theft is occurring, if the smart meter is located at a customer site having a solar photovoltaic system, if the smart meter is located at a customer site having an electric vehicle, or if the smart meter is located at a grow house.

A computer system analyzes data from smart meters. The computer system can, for example, analyze the data from a smart meter to determine if the smart meter is connected to a different distribution transformer, if the smart meter is at a customer site where power theft is occurring, if the smart meter is located at a customer site having a solar photovoltaic system, if the smart meter is located at a customer site having an electric vehicle, or if the smart meter is located at a grow house.

A method for operating an electricity metering system is provided. The metering system includes an electronic energy meter and a metering application host. The method includes: receiving, by the electronic energy meter, an analog signal associated with power delivered using alternating current (AC); converting, by the electronic energy meter, the analog signal to a digital signal; generating, by the electronic energy meter, processed data and a continuous stream of waveform data; receiving, by a continuous waveform data stream module of the metering application host, the continuous stream of waveform data; requesting, by a first metering application hosted by the metering application host, at least a first portion of the continuous stream of waveform data; and transferring, by the continuous waveform data stream module, the at least a first portion of the continuous stream of waveform data to the first metering application.

A method for operating an electricity metering system is provided. The metering system includes an electronic energy meter and a metering application host. The method includes: receiving, by the electronic energy meter, an analog signal associated with power delivered using alternating current (AC); converting, by the electronic energy meter, the analog signal to a digital signal; generating, by the electronic energy meter, processed data and a continuous stream of waveform data; receiving, by a continuous waveform data stream module of the metering application host, the continuous stream of waveform data; requesting, by a first metering application hosted by the metering application host, at least a first portion of the continuous stream of waveform data; and transferring, by the continuous waveform data stream module, the at least a first portion of the continuous stream of waveform data to the first metering application.

A non-intrusive load monitoring method based on V-I trajectory and neural network includes: collecting the household voltage, current and active power data in real time; determining whether there is a switching event and whether the load operating state has reached a steady state through the change of the active power; obtaining the voltage, current and power data of the load, converting the V-I trajectory into RGB color image containing the phase difference between the voltage and current, power and other information. After obtaining the RGB color image, performing normalization processing and performing load monitoring through pre-trained convolutional neural network. The present disclosure fully extracts the steady-state feature of the load through the convolutional neural network, and the neural network model can directly run on an embedded device, and does not need to rely on the computing support of a server.

A non-intrusive load monitoring method based on V-I trajectory and neural network includes: collecting the household voltage, current and active power data in real time; determining whether there is a switching event and whether the load operating state has reached a steady state through the change of the active power; obtaining the voltage, current and power data of the load, converting the V-I trajectory into RGB color image containing the phase difference between the voltage and current, power and other information. After obtaining the RGB color image, performing normalization processing and performing load monitoring through pre-trained convolutional neural network. The present disclosure fully extracts the steady-state feature of the load through the convolutional neural network, and the neural network model can directly run on an embedded device, and does not need to rely on the computing support of a server.

A power control device for controlling the supply of electricity to an electrical apparatus or system. The power control device includes a microcontroller having an operating system with a firmware component that has at least one sandboxed software plug-in slot for accepting a communications protocol software plug-in to configure the microcontroller according to the communications protocol of the communications protocol software plug-in.

A digital power metering system with serial peripheral interface (SPI) multimaster communications is provided. A digital power meter is provided that includes at least one sensor that senses analog electrical parameters on electricity transmission lines from an electrical power distribution system, at least one analog-to-digital converter that receives the analog electrical parameters from the at least one sensor and converts the analog electrical parameters to sampled data; at least one processing device that performs calculations to determine power usage based on the sampled data and control overall operation of the meter, and a Serial Peripheral Interface (SPI), wherein the at least one processing device includes a plurality of processing devices, the SPI allowing one of the plurality of processing devices to become a master and the other processing devices of the plurality of processing devices to become slaves.

A digital power metering system with serial peripheral interface (SPI) multimaster communications is provided. A digital power meter is provided that includes at least one sensor that senses analog electrical parameters on electricity transmission lines from an electrical power distribution system, at least one analog-to-digital converter that receives the analog electrical parameters from the at least one sensor and converts the analog electrical parameters to sampled data; at least one processing device that performs calculations to determine power usage based on the sampled data and control overall operation of the meter, and a Serial Peripheral Interface (SPI), wherein the at least one processing device includes a plurality of processing devices, the SPI allowing one of the plurality of processing devices to become a master and the other processing devices of the plurality of processing devices to become slaves.

Systems and methods for measuring power consumption in a display assembly are provided. Images are displayed at an electronic display subassembly. A simulated electric meter is electrically interposed between a utility electric supply and at least the electronic display subassembly and measures power consumed by at least said electronic display subassembly. Cumulative power measurements may be recorded by the simulated electric meter for each image displayed at the electronic display subassembly.