A method for collecting data, preferably in connection with a consumption, a physical or physico-chemical parameter and/or an operating state in a supply network for consumables. A measuring element of a local sensor supplies raw measurement data in the form of elementary measurement units that correspond to a physical or physico-chemical variable or parameter. In order to define the measurement resolution of the sensor, the conditions for generating time stamps are defined in advance using a correlation model, time stamps of successive items of raw measurement data are generated in the sensor on the basis of the correlation model, the time stamps are transmitted so that the raw measurement data acquired by the measuring element is reconstructed on the basis of the time stamps using the correlation model, and analyzed. The transmission is performed with a dynamically adaptable redundancy.

One embodiment is an LTE antenna optimized for North American Electricity meters. In one example, the carrier assembly component is a device comprising a carrier having first and second asymmetrical voids on a surface; a backer on a first side of the surface of the carrier; and first, second, third, and fourth structures on a second side of the carrier connected to the backer via the asymmetrical voids.

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 broadband access system, comprising a broadband access hub device (hub device) and broadband access premise devices (premise devices) wirelessly coupled the hub device to provide broadband services to multiple user equipment (UEs), is described. The hub device may access broadband services on a fiber optic broadband network and wirelessly provide access to the broadband services to the premise devices. The premise device may wirelessly communicate with the hub device and communicate with user equipment (UEs) for providing access to the broadband services through the hub device. The premise device may be attached to an electric utility meter, and a power interface module of the premise device may supply electrical power to the premise device from the electric utility meter.

Methods, systems, and computer readable media are disclosed for monitoring photovoltaic solar systems. In some examples, the system includes a solar power measurement input for coupling to a solar panel system, a measurement circuit configured to measure power produced by the solar panel system using the solar power measurement input, and a data transmission system. The measurement circuit is configured, by virtue of the measurement circuit including electrical components rated to at least a certain tolerance level, to take revenue-grade power measurements from the solar power measurement input with a level of accuracy that meets a national or international metering standard. The data transmission system is configured to transmit the revenue-grade power measurements from the measurement circuit to a remote system.

A broadband access system, comprising a broadband access hub device (hub device) and broadband access premise devices (premise devices) wirelessly coupled the hub device to provide broadband services to multiple user equipment (UEs), is described. The hub device may access broadband services on a fiber optic broadband network and wirelessly provide access to the broadband services to the premise devices. The premise device may wirelessly communicate with the hub device and communicate with user equipment (UEs) for providing access to the broadband services through the hub device. The premise device may be attached to an electric utility meter, and a power interface module of the premise device may supply electrical power to the premise device from the electric utility meter.

A method collects data via a sensor being part of a supply network which distributes a consumable. The sensor contains a measuring element which provides elementary measuring units, which correspond to a variable or a parameter, as raw measurement data, where consumption data are generated from the elementary measuring units. The sensor has a communication device and a storage device. To determine the measurement resolution of the sensor, the conditions for generating time stamps are determined using a correlation model. Time stamps of successive raw measurement data are generated in the sensor based on the correlation model, the time stamps are transmitted via a wired connection and/or via a radio path, with the result that the raw measurement data acquired by the measuring element are reconstructed and evaluated on the basis of the time stamps using the correlation model. The consumption data are transmitted in parallel with the time stamps.

Apparatus for disaggregating a plurality of aggregated electrical devices that receive power via a same power node, the apparatus comprising: a memory having values of at least one power feature for each of the aggregated electrical devices that characterizes power consumption of the device; and a processor configured to: receive a measure of a value for the at least one power feature of node power distributed to the aggregated devices via the power node; determine an optimum probability mass function (PMF) based on the values for the at least one power feature for each of the electrical devices that is optimized to provide an optimum disaggregation state vector for the aggregated electrical devices that satisfies a predetermined criterion to provide a value for the at least one power feature that agrees with the received measure of the at least one power feature.

A system for detecting malicious operation of a building system includes a power characteristic input connected to a plurality of power characteristic sensors, a processor and a memory. The memory stores instructions for operating at least a physics model detection, a machine learning model detection and a combination module. The physics model detection includes multiple predefined expected power characteristics and is configured to detect an anomaly when at least one power characteristic received at the power characteristic input deviates from a corresponding predefined expected power characteristic of the predefined expected power characteristics. The machine learning model includes a machine learning system configured to learn a set of expected normal power characteristics and detect the anomaly when at least one power characteristic received at the power characteristic input deviates from the learned set of expected normal power characteristics. The combination module is configured to output an alert to at least one technician in response to at least one of the physics model and the machine learning model detecting the anomaly.

The present disclosure provides a system and method for the management of a monitor module in an electrical measurement system to determine an estimate of a transfer function of a first measurement sensor in the measurement system. The management comprises outputting a first control instruction for instructing the monitor module to determine an estimate of the transfer function of the first measurement sensor over a first individual run length of time, obtaining a first monitor result from the monitor module, the monitor result comprising the estimate of the transfer function of the first measurement sensor and generating a report based at least in part on the first monitor result.