Abstract: In some embodiments, systems and methods described herein are directed to using smart meters to determine an operational status of an asset. In some embodiments, the asset is a transformer. In some embodiments, the system receives data from the smart meters such as voltage and associates the data with an asset feeding electricity to the smart meter. In some embodiments, the system includes a data analytics platform that can generate a failure probability prediction using the smart meter data. In some embodiments, the system includes an AI model configured to receive smart meter data, execute a decision analysis, and return a designation of whether the asset is at risk of failure or has failed.

Abstract: In some embodiments, the disclosure is directed to a system for estimating high-side voltage of transformers in an electrical distribution network. In some embodiments, the system executes program instructions that enable one or more computers to receive meter load and/or voltage data from smart meters. In some embodiments, the data is used in transformer load analysis to assume impedance values, determining low-side voltage, and estimating high-side voltage using the determined low-side voltage. In some embodiments, the system is configured to these estimations against known values to identify discrepancies, which are output via a graphical user interface. In some embodiments, the system is configured to determine expected percent impedance from historical data and/or estimate impedance characteristics. In some embodiments, the system is configured to execute clustering of voltage estimates to identify similar phases among neighboring transformers.

Abstract: In some embodiments, systems and methods described herein are directed to using smart meters to determine an operational status of an asset. In some embodiments, the asset is a transformer. In some embodiments, the system receives data from the smart meters such as voltage and associates the data with an asset feeding electricity to the smart meter. In some embodiments, the system includes a data analytics platform that can generate a failure probability prediction using the smart meter data. In some embodiments, the system includes an AI model configured to receive smart meter data, execute a decision analysis, and return a designation of whether the asset is at risk of failure or has failed.