Utilities face increasing operational expenses and additional requirements for better reliability - both problems that become exponentially more difficult to deal with as new renewable energy sources and new demand sources, like EVs, come online. Fortunately, utilities also have an amazing resource - their network data. GridCure uses this data with industry-leading machine learning to help predict issues and failures on the network.
GridCure's solutions are quick to deploy, modular, asset-class specific predictive analytical applications. Some of the most popular are GridCure's Transformer Predictive Health Module, which predicts the health and remaining useful life of transformers of all voltages across the network, and the Blink Module, which uses voltage alarms from smart meters to determine the precise location of an issue or failure on the distribution network.
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