TY - GEN
T1 - A cyber-physical system approach for photovoltaic array monitoring and control
AU - Rao, S.
AU - Katoch, S.
AU - Turaga, Pavan
AU - Spanias, Andreas
AU - Tepedelenlioglu, Cihan
AU - Ayyanar, Raja
AU - Braun, H.
AU - Lee, J.
AU - Shanthamallu, U.
AU - Banavar, M.
AU - Srinivasan, D.
N1 - Funding Information:
This work was supported in part by the NSF CPS award 1646542 and the ASU SenSIP Center. We also appreciate the logistical support of Energy Wireless, Poundra, ASU SenSIP, ASU MTW, and ASU OKED in planning the construction of the solar panel monitoring facility.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - 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.
AB - 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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U2 - 10.1109/IISA.2017.8316458
DO - 10.1109/IISA.2017.8316458
M3 - Conference contribution
AN - SCOPUS:85047487171
T3 - 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
SP - 1
EP - 6
BT - 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
Y2 - 27 August 2017 through 30 August 2017
ER -