Abstract: Techniques detect an electrical phase used by electrical network devices (e.g., a transformer, electrical meter, etc.). Voltage measurement data is obtained, such as from electrical meters. The voltage measurement data may be associated with a timestamp, and may be made at intervals over a period of time. Voltage changes may be calculated using the voltage measurement data. In an example, the voltage change is a difference determined between sequential voltage measurements. In some instances, voltage changes data is removed if it exceeds a threshold. An initial classification of network devices (e.g., randomly or by assumed electrical phase) is determined. A clustering technique (e.g., k-means) is applied, wherein the classification is updated in a manner that segregates the network devices according to actual electrical phase.

Abstract: An electrical phase (e.g., a phase from among three-phase power) connected to an electrical meter may be determined. In one example of the techniques, changes in energy or power (e.g., a derivative or differences) may be determined based at least in part on measurements from each of a plurality of meters. Changes in energy or power may be determined based at least in part on electrical transmissions measured at each of the phases of a feeder. A meter may be selected from among the plurality of meters. For each of the plurality of electrical phases, the changes in energy or power measured by the meter may be compared or correlated to the changes in energy or power measured at the feeder. A phase that is connected to the meter may be determined, from among the plurality of electrical phases, based at least in part on the comparisons or correlations.

Abstract: An electrical phase (e.g., a phase from among three-phase power) connected to an electrical meter may be determined. In one example of the techniques, changes in energy or power (e.g., a derivative or differences) may be determined based at least in part on measurements from each of a plurality of meters. Changes in energy or power may be determined based at least in part on electrical transmissions measured at each of the phases of a feeder. A meter may be selected from among the plurality of meters. For each of the plurality of electrical phases, the changes in energy or power measured by the meter may be compared or correlated to the changes in energy or power measured at the feeder. A phase that is connected to the meter may be determined, from among the plurality of electrical phases, based at least in part on the comparisons or correlations.

Abstract: An electrical phase (e.g., a phase from among three-phase power) connected to an electrical meter may be determined. In one example of the techniques, changes in energy or power (e.g., a derivative or differences) may be determined based at least in part on measurements from each of a plurality of meters. Changes in energy or power may be determined based at least in part on electrical transmissions measured at each of the phases of a feeder. A meter may be selected from among the plurality of meters. For each of the plurality of electrical phases, the changes in energy or power measured by the meter may be compared or correlated to the changes in energy or power measured at the feeder. A phase that is connected to the meter may be determined, from among the plurality of electrical phases, based at least in part on the comparisons or correlations.

Abstract: Techniques detect an electrical phase used by electrical network devices (e.g., a transformer, electrical meter, etc.). Voltage measurement data is obtained, such as from electrical meters. The voltage measurement data may be associated with a timestamp, and may be made at intervals over a period of time. Voltage changes may be calculated using the voltage measurement data. In an example, the voltage change is a difference determined between sequential voltage measurements. In some instances, voltage changes data is removed if it exceeds a threshold. An initial classification of network devices (e.g., randomly or by assumed electrical phase) is determined. A clustering technique (e.g., k-means) is applied, wherein the classification is updated in a manner that segregates the network devices according to actual electrical phase.

Abstract: An electrical phase (e.g., a phase from among three-phase power) connected to an electrical meter may be determined. In one example of the techniques, changes in energy or power (e.g., a derivative or differences) may be determined based at least in part on measurements from each of a plurality of meters. Changes in energy or power may be determined based at least in part on electrical transmissions measured at each of the phases of a feeder. A meter may be selected from among the plurality of meters. For each of the plurality of electrical phases, the changes in energy or power measured by the meter may be compared or correlated to the changes in energy or power measured at the feeder. A phase that is connected to the meter may be determined, from among the plurality of electrical phases, based at least in part on the comparisons or correlations.