Computer vision is widely used in energy storage for predictive maintenance. Computer vision algorithms can detect the first signs of decay or malfunction in energy storage components, such as batteries and inverters. This enables proactive maintenance to prevent costly periods of inactivity and enhance overall performance. [pdf]
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