Abstract: Improved methods and systems are disclosed for processing data records. A method includes receiving data records from a plurality of sources for a plurality of submitters and adjusting the data records by adding fields to the records. The added fields may provide normalized data. The method may also include parsing the added fields to identify a data window within the data records with at least a threshold of data for a subset of the plurality of submitters, determining data statistics of the data for each submitter for the determined data window, and appending flags to the records according to the data statistics.

Abstract: Improved methods and systems are disclosed for processing data records. A method includes receiving data records from a plurality of sources for a plurality of submitters and adjusting the data records by adding fields to the records. The added fields may provide normalized data. The method may also include parsing the added fields to identify a data window within the data records with at least a threshold of data for a subset of the plurality of submitters, determining data statistics of the data for each submitter for the determined data window, and appending flags to the records according to the data statistics.

Abstract: A system includes a utility analytics system having a memory configured to store an event forecaster. The utility analytics system also includes a processor communicatively coupled to the memory. The processor is configured to receive or access data related to weather conditions, vegetation conditions, and historical events along the power grid, and the processor is also configured to execute instructions of the event forecaster to identify one or more potential events in the power grid based at least in part on the data related to weather conditions, vegetation conditions, and historical events along the power grid.