Abstract: Methods for verifying and updating connectivity information in a geographic information system may consider location information for meters and transformers and voltage data obtained by the meters. Meters that are incorrectly associated with a transformer may be flagged and candidate transformers may be evaluated to identify a correct association. The analysis may consider voltage data from multiple meters to determine correlation values. Correlation values or confidence factors may be used to identify a transformer for the correct association.

Abstract: Methods for verifying and updating connectivity information in a geographic information system may consider location information for meters and transformers and voltage data obtained by the meters. Meters that are incorrectly associated with a transformer may be flagged and candidate transformers may be evaluated to identify a correct association. The analysis may consider voltage data from multiple meters to determine correlation values. Correlation values or confidence factors may be used to identify a transformer for the correct association.

Abstract: Methods for verifying and updating connectivity information in a geographic information system may consider location information for meters and transformers and voltage data obtained by the meters. Meters that are incorrectly associated with a transformer may be flagged and candidate transformers may be evaluated to identify a correct association. The analysis may consider voltage data from multiple meters to determine correlation values. Correlation values or confidence factors may be used to identify a transformer for the correct association.

Abstract: A method for determining the phase of an electric meter includes: selecting a population of electric meters; selecting a historical time range based at least in part on the selected population of electric meters; selecting an interval period; creating profiles for each electric meter in the selected population of electric meters based on the voltage measurements over one or more interval periods; calculating a correlation coefficient matrix based on the profiles; clustering the selected population of electric meters into a plurality of clusters; and determining a phase of each cluster of the plurality of clusters.

Abstract: A method for ranking network assets based on downstream events may include: receiving communications from one or more sensors in a power distribution network, the communications indicating the occurrence of a network event; calculating a probability of a network asset causing a problem indicated by the event for each network asset in an affected area of the network; calculating a spread probability of the network asset causing the problem for each network asset in the affected area of the network; based on the probability and the spread probability, calculating a probability of the network asset malfunctioning for each network asset in the affected area of the network; comparing the probability of the network asset malfunctioning to a threshold value; based on the comparison, determining a network asset having a highest probability of malfunctioning; and controlling one of more other network assets to mitigate the problem.

Abstract: A method for ranking network assets based on downstream events may include: receiving communications from one or more sensors in a power distribution network, the communications indicating the occurrence of a network event; calculating a probability of a network asset causing a problem indicated by the event for each network asset in an affected area of the network; calculating a spread probability of the network asset causing the problem for each network asset in the affected area of the network; based on the probability and the spread probability, calculating a probability of the network asset malfunctioning for each network asset in the affected area of the network; comparing the probability of the network asset malfunctioning to a threshold value; based on the comparison, determining a network asset having a highest probability of malfunctioning; and controlling one of more other network assets to mitigate the problem.

Abstract: A method for determining the phase of an electric meter includes: selecting a population of electric meters; selecting a historical time range based at least in part on the selected population of electric meters; selecting an interval period; creating profiles for each electric meter in the selected population of electric meters based on the voltage measurements over one or more interval periods; calculating a correlation coefficient matrix based on the profiles; clustering the selected population of electric meters into a plurality of clusters; and determining a phase of each cluster of the plurality of clusters.

Abstract: Methods for verifying and updating connectivity information in a geographic information system may consider location information for meters and transformers and voltage data obtained by the meters. Meters that are incorrectly associated with a transformer may be flagged and candidate transformers may be evaluated to identify a correct association. The analysis may consider voltage data from multiple meters to determine correlation values. Correlation values or confidence factors may be used to identify a transformer for the correct association.

Abstract: The present invention is directed to a system and method which includes a new optimization algorithm that not only optimizes the given system but provides sensitivity factors that provide the effect of changes in the system and how the changes are going to affect the overall performance of the system.

Abstract: A hopping mesh network is described that employs two or more disparate media to connect multiple intelligent devices into a network capable of passing high-speed data. Each intelligent device is able to select the most appropriate media based on the data to be used to transmit the media, and may switch data between disparate media as necessary during the transmission of the data. Each media is configured to contain multiple channels which are also used by the intelligent devices to transmit data on the network. A generic, protocol-neutral wrapper can also be used in the hopping mesh network to allow transmission of multiple protocols without the need for conversion between protocols.