A system for measuring and verifying energy savings resulting from energy conservation measures in a building includes one or more energy meters and a controller. The energy meters are configured to measure an actual amount of building energy usage The controller is configured to determine an actual amount of energy savings resulting from the energy conservation measures during the measurement and verification period and to calculate a least amount of energy savings resulting from the energy conservation measures. The least amount of energy savings is a lower confidence bound on the actual amount of energy savings. The controller is configured to cause a building management system for the building to stop performing a measurement and verification process before a normal end of the measurement and verification period in response to the least amount being greater than a target amount of energy savings to be achieved by the energy conservation measures.

A data measurement device in a high voltage direct current (HVDC) system is provided. The data measurement device includes: a power measurement unit measuring pieces of power related data; and a control unit determining measurement times at which the pieces of power related data are measured respectively, and performing control based on pieces of power related data having a same measurement time among the pieces of power related data.

Systems and methods are provided for estimating power breakdowns for a set of one or more appliances inside a building by exploiting a small number of power meters and data indicative of binary power states of individual appliances of such set. In one aspect, a breakdown estimation problem is solved within a tree configuration, and utilizing a single power meter and data indicative of binary power states of a plurality of appliances. Based at least in part on such solution, an estimation quality metric is derived. In another aspect, such metric can be exploited in a methodology for optimally placing additional power meters to increase the estimation certainty for individual appliances to a desired or intended level. Estimated power breakdown and energy breakdownindividually or collectively referred to as consumption breakdownrely on measurements and numerical simulations, and can be evaluated in exemplary electrical network utilizing binary sensors.

A power quality analysis system includes a smart breaker network having a smart meter coupled to a load and structured to measure power quality parameters; a cloud including a hub that is coupled to the smart breaker network and structured to receive the power quality parameters from the one or more smart meters, a data manager structured to store data including at least the power quality parameters, a power quality analysis (PQA) algorithm structured to identify the power quality parameters to be measured and analyzed and define thresholds for the power quality parameters, and a PQA engine that is structured to read the power quality parameters and perform PQA of the power quality parameters based at least in part on the PQA algorithm; and an output device communicatively coupled to the cloud and structured to expose resultant data of the PQA to an end user.

The present disclosure relates to generating a measurement sensor profiling summary in relation to a measurement sensor of an electrical measurement system, the measurement sensor being suitable for measuring an electrical property. The profiling summary is generated by obtaining a plurality of profiling results each comprising an estimate of a transfer function of a measurement sensor of the electrical measurement system and a corresponding certainty value indicative of the accuracy of the estimate of the transfer function, wherein the plurality of profiling results are based on estimates of the transfer function of the measurement sensor and corresponding certainty values that were determined by a monitor module of the electrical measurement system during a profiling period of time; and generating a profiling summary based on at least one of the plurality of profiling results.

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.

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.

An information sharing method for a smart electricity meter, the smart electricity meter and an acquisition router are provided. Multiple Internet Protocol version 6 (IPv6) addresses are allocated to the smart electricity meter; the smart electricity meter specifies the corresponding IPv6 address according to a type of information to initiate a Transmission Control Protocol (TCP)/Internet Protocol (IP) connection to the acquisition router; and the acquisition router searches for routing IPv6 addresses with same rules as rules of the IPv6 address according to the IPv6 address, and sends the information to destination addresses specified by the information through the routing IPv6 addresses.

A system for energy metering with temperature monitoring.

A power consumption analyzing server and a power consumption analyzing method thereof are provided. According to the user data, the power consumption analyzing server clusters users into a plurality of groups. For each group, the power consumption analyzing server generates M+1 number of encoded outputs by inputting total power consumption time sequence data corresponding to a reference user in the group into an autoencoder. For each group, the power consumption analyzing server receives an actual appliance measurement data from an energy management system apparatus of the reference user, and labels M number of encoded outputs of the M+1 number of encoded outputs to map them to M categories of appliances. Finally, for each group, the power consumption analyzing server establishes a non-intrusive load monitoring system model of the group.