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Cognition-drivenpredictivemaintenance of Solar power plants (Cog4Sol)
The Cog4Sol project, under the DIH4AI initiative, focuses on pioneering predictive maintenance solutions for mid-sized solar power plants. It leverages advanced AI techniques for early detection of variations and anomalies in complex environments. The primary goal is to develop new predictive maintenance services, enhancing the sustainability and efficiency of solar power infrastructure. This involves understanding and reacting to environmental impacts, energy production and consumption data, and modeling normal behavior using a blend of statistical learning, advanced data analytics, and deep learning. The project promises significant strides in environment-friendly energy production and predictive maintenance, with broad potential for application in various industrial contexts.
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