Abstract

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.

Original languageEnglish (US)
Title of host publication2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538637319
DOIs
StatePublished - Mar 14 2018
Event8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017 - Larnaca, Cyprus
Duration: Aug 27 2017Aug 30 2017

Publication series

Name2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
Volume2018-January

Other

Other8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
Country/TerritoryCyprus
CityLarnaca
Period8/27/178/30/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Information Systems
  • Software
  • Safety, Risk, Reliability and Quality
  • Social Sciences (miscellaneous)

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