Abstract: The disclosure describes techniques for providing meter-to-transformer connectivity information and/or correction, using voltage-correlation, distance, and/or address data. In an example, a meter generates a time-series of voltage-changes. Transformers geographically close enough to the meter are assigned a time-series of voltage-changes. Pearson's Correlation Coefficient (PCC) values of the meter with respect to individual transformers are determined. A reference PCC value of the meter is set to be an average of a largest and a second largest PCC value from among the PCC values of the meter. Voltage-correlation confidence rating (VCCR) values for the meter with respect to each transformer that is within the threshold distance from the meter are calculated using the PCC. Based at least in part on the VCCR values for the meter with respect to each transformer that is within the threshold distance from that meter, a probability of the meter being connected to each transformer is determined.

Abstract: The disclosure describes techniques for providing meter-to-transformer connectivity information and/or correction, using voltage-correlation, distance, and/or address data. In an example, a meter generates a time-series of voltage-changes. Transformers geographically close enough to the meter are assigned a time-series of voltage-changes. Pearson's Correlation Coefficient (PCC) values of the meter with respect to individual transformers are determined. A reference PCC value of the meter is set to be an average of a largest and a second largest PCC value from among the PCC values of the meter. Voltage-correlation confidence rating (VCCR) values for the meter with respect to each transformer that is within the threshold distance from the meter are calculated using the PCC. Based at least in part on the VCCR values for the meter with respect to each transformer that is within the threshold distance from that meter, a probability of the meter being connected to each transformer is determined.

Abstract: A method, apparatus, and system for identifying electrical phases connected to electricity meters are disclosed. Voltage time series data of electricity meters are collected over a preselected collection time period, and three initial kernels representing three line-to-neutral phases are generated based on voltage correlations of meter-to-meter combinations. Three new kernels are then generated based on correlation values calculated for each of the three initial kernels with each electricity meter, and electricity meters are clustered into three groups based on average correlation values associated with each electricity meter. Six new kernels representing six phases are then formed based on the average correlation value associated with each electricity meter, and a predicted phase is assigned to each electricity meter based on correlation values of the electricity meter with each of the six new kernels based on the voltage time series data.

Abstract: A method, apparatus, and system for identifying electrical phases connected to electricity meters are disclosed. Voltage time series data of electricity meters are collected over a preselected collection time period, and three initial kernels representing three line-to-neutral phases are generated based on voltage correlations of meter-to-meter combinations. Three new kernels are then generated based on correlation values calculated for each of the three initial kernels with each electricity meter, and electricity meters are clustered into three groups based on average correlation values associated with each electricity meter. Six new kernels representing six phases are then formed based on the average correlation value associated with each electricity meter, and a predicted phase is assigned to each electricity meter based on correlation values of the electricity meter with each of the six new kernels based on the voltage time series data.

Abstract: The disclosure describes techniques for providing meter-to-transformer connectivity information and/or correction, using voltage-correlation, distance, and/or address data. In an example, a meter generates a time-series of voltage-changes. Transformers geographically close enough to the meter are assigned a time-series of voltage-changes. Pearson's Correlation Coefficient (PCC) values of the meter with respect to individual transformers are determined. A reference PCC value of the meter is set to be an average of a largest and a second largest PCC value from among the PCC values of the meter. Voltage-correlation confidence rating (VCCR) values for the meter with respect to each transformer that is within the threshold distance from the meter are calculated using the PCC. Based at least in part on the VCCR values for the meter with respect to each transformer that is within the threshold distance from that meter, a probability of the meter being connected to each transformer is determined.