Abstract: In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.

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, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.