A cyber-physical system approach for photovoltaic array monitoring and control
2017 8th International Conference on Information, Intelligence …, 2017•ieeexplore.ieee.org
In this paper, we describe a Cyber-Physical system approach to Photovoltaic (PV) array
control. A machine learning and computer vision framework is proposed for improving the
reliability of utility scale PV arrays by leveraging video analysis of local skyline imagery,
customized machine learning methods for fault detection, and monitoring devices that sense
data and actuate at each individual panel. Our approach promises to improve efficiency in
renewable energy systems using cyber-enabled sensory analysis and fusion.
control. A machine learning and computer vision framework is proposed for improving the
reliability of utility scale PV arrays by leveraging video analysis of local skyline imagery,
customized machine learning methods for fault detection, and monitoring devices that sense
data and actuate at each individual panel. Our approach promises to improve efficiency in
renewable energy systems using cyber-enabled sensory analysis and fusion.
In this paper, we describe a Cyber-Physical system approach to Photovoltaic (PV) array control. A machine learning and computer vision framework is proposed for improving the reliability of utility scale PV arrays by leveraging video analysis of local skyline imagery, customized machine learning methods for fault detection, and monitoring devices that sense data and actuate at each individual panel. Our approach promises to improve efficiency in renewable energy systems using cyber-enabled sensory analysis and fusion.
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