A transformer area identification method includes: performing data acquisition on all sub-meters and a master meter in an identification domain to obtain a steady-state load, and generating a steady-state load jump curve; and performing load jump feature matching between steady-state load jump curves of all the sub-meters and a steady-state load jump curve of the master meter, and obtaining attribution of the sub-meters with a load jump according to matching results. A method for constructing transformer area line topology is further provided. A load jump identification technique is utilized to acquire a load value of each node in a transformer area power supply network, so as to form a load jump curve for each node. By performing load jump feature matching between load jump curves of all sub-meters and a load jump curve of a master meter, a mounting relationship of a corresponding electric meter is determined.

A transformer area identification method includes: performing data acquisition on all sub-meters and a master meter in an identification domain to obtain a steady-state load, and generating a steady-state load jump curve; and performing load jump feature matching between steady-state load jump curves of all the sub-meters and a steady-state load jump curve of the master meter, and obtaining attribution of the sub-meters with a load jump according to matching results. A method for constructing transformer area line topology is further provided. A load jump identification technique is utilized to acquire a load value of each node in a transformer area power supply network, so as to form a load jump curve for each node. By performing load jump feature matching between load jump curves of all sub-meters and a load jump curve of a master meter, a mounting relationship of a corresponding electric meter is determined.

A power estimation method is implemented in a three-phase electricity meter, and includes the steps of: detecting a fraud falsifying a first voltage measurement on a first phase; acquiring a second voltage measurement on a second phase, the second voltage measurement not being falsified by the fraud; estimating a first phase shift between the first phase voltage and a first phase current, by using a first phase shift estimation between the first phase voltage and the second phase voltage; estimating at least one first electrical power consumed on the first phase from a first current measurement on the first phase, of the second voltage measurement, and of the first phase shift.

A power estimation method is implemented in a three-phase electricity meter, and includes the steps of: detecting a fraud falsifying a first voltage measurement on a first phase; acquiring a second voltage measurement on a second phase, the second voltage measurement not being falsified by the fraud; estimating a first phase shift between the first phase voltage and a first phase current, by using a first phase shift estimation between the first phase voltage and the second phase voltage; estimating at least one first electrical power consumed on the first phase from a first current measurement on the first phase, of the second voltage measurement, and of the first phase shift.

Embodiments describe a remote deployable transient sensory kit comprising a shipping container having a remote deployable transient sensory system. The sensory system includes a controller, a set of batteries configured according to a flight plan optimization associated with a building energy modeling mission, and a mobile device for wireless communication with the remote deployable transient sensory system. The mobile device includes a processor, a computer-readable memory comprising an application executable via the processor for collecting energy usage data and building characteristics via the remote deployable transient sensory system, and a transceiver configured for wireless communication with the remote deployable transient sensory system.

Embodiments describe a remote deployable transient sensory kit comprising a shipping container having a remote deployable transient sensory system. The sensory system includes a controller, a set of batteries configured according to a flight plan optimization associated with a building energy modeling mission, and a mobile device for wireless communication with the remote deployable transient sensory system. The mobile device includes a processor, a computer-readable memory comprising an application executable via the processor for collecting energy usage data and building characteristics via the remote deployable transient sensory system, and a transceiver configured for wireless communication with the remote deployable transient sensory system.

Embodiments relate to a power monitoring circuit. The power monitoring circuit includes a divider circuit that generates a reference voltage that is inversely proportional to a regulator voltage. Moreover, the power monitoring circuit includes an integrator that generates an integrator voltage by integrating one or more regulator currents. The power monitoring circuit additionally includes a comparator for comparing the output of the divider circuit and the output of the integrator. The comparator of the power monitoring circuit generates an output signal in response to the integrator voltage being larger than the reference voltage.

Embodiments relate to a power monitoring circuit. The power monitoring circuit includes a divider circuit that generates a reference voltage that is inversely proportional to a regulator voltage. Moreover, the power monitoring circuit includes an integrator that generates an integrator voltage by integrating one or more regulator currents. The power monitoring circuit additionally includes a comparator for comparing the output of the divider circuit and the output of the integrator. The comparator of the power monitoring circuit generates an output signal in response to the integrator voltage being larger than the reference voltage.

Accordingly the embodiments herein provides a method for load balancing in an energy measurement information system. The method includes collecting, by a power information collecting unit, power information at a snapshot extraction frequency. The snapshot extraction frequency is within a range. Further, the method includes detecting, by an operating status extracting unit, an operating status of at least one load apparatus at the snapshot extraction frequency. The operating status is one of a steady state and a transient state. Furthermore, the method includes generating, by a data set generating unit, a data set including only one or a representative snapshot of the power information, when the normal status is detected; and a data set including a plurality of snapshots of the power information, when the transient state is detected.

A system and method for adjusting estimated number of customers affected by an electrical power distribution network incident. Incident reports indicating a number of affected customers and an incident definition for incidents occurring over an accumulation time are accumulated, where each incident report. For each incident report, a signature is determined based on characterizing respective incidents and includes respective characteristics of the incidents associated with each incident report. A subject incident report is received subsequent to the accumulation time. A signature is determined for the subject incident report. Similar incident reports that have signatures similar to the subject incident are identified. A composite estimated number of affected customers for the subject incident is determined based on the associated numbers of affected customers for each similar incident report. An initial estimate of customers affected by the subject incident is adjusted based on the composite estimated number of affected customers.