Titlebook: Machine Learning for Solar Array Monitoring, Optimization, and Control; Sunil Rao,Sameeksha Katoch,Devarajan Srinivasan Book 2020 Springer

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Introduction,king sites, and large commercial structures are being deployed in several countries. In addition, large utility-scale arrays with generation capacity of several megawatts are now connected to the grid. The large number of panels in remote areas makes faults more likely and more challenging to detect

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Shading Prediction for Power Optimization,ince the power output is based on sun’s irradiance there is high uncertainty and intermittency due to variable weather conditions which makes it difficult to incorporate PV arrays into existing power grids. In this chapter, we consider cloud movement as one of the category of PV panel shading. Cloud

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Summary,ok. The system described is equipped with smart monitoring and control capabilities in order to achieve robustness and maximum power output, via topology reconfiguration and fault diagnosis. ML and signal processing techniques are utilized to monitor PV arrays and develop algorithms to remotely dete

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