A Queensland tech start-up says it has developed an AI-based all-in-one solar farm operation and maintenance system that promises to boost the reliability of solar projects and could save the renewable energy industry $200 million a year. From pv magazine Australia A tech start-up from The University of Queensland (UQ) has developed a system that utilizes machine-learning algorithms to analyze existing data and detect, locate and identify faulty and underperforming solar panels in real time, and recommend targeted maintenance. The Solaris AI system has been developed to detect, locate and identify ...Den vollständigen Artikel lesen ...
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