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Frontiers of Engineering Reports on Leading-Edge Engineering from the 2017 Symposium (2018) / Chapter Skim
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Big Data and Analytics for Wind Energy Operations and Maintenance: Opportunities, Trends, and Challenges in the Industrial Internet - Bouchra Bouqata
Pages 25-28

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 25...
... . As wind energy becomes more economically competitive, wind farm operators must understand and manage the performance analysis of their farms in order to achieve desired production and revenue goals.
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From page 26...
... The emerging paradigm needs to involve automation of a significant portion of the current manual process involved in problem formulation (to select the appropriate ML algorithms) as well as data preparation, model selection, model tuning, and so forth.
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From page 27...
... Most machines now either have or are in the process of getting multiple sensors and being connected. The sensors constitute a plethora of data sources that are often neither connected nor integrated, yielding a deluge of data from wind turbines.
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From page 28...
... For wind energy O&M, this approach extensively leverages physics-based modeling of the system and fuses it with data-driven models and statistical and ML techniques to increase performance and reduce maintenance costs in wind energy O&M. It does so by • continuously collecting data from assets combined with other operational data to monitor, analyze, and improve performance and maintenance; • delivering insights from asset-specific advanced analytics models; and • providing the asset issues to enable smart decisions and the best course of action.
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Key Terms

  • wind energy
  • data analytics
  • wind farm
  • advanced analytics
  • renewable energy

  • maintenance costs
  • data advanced
  • reduce operating
  • farm operators
  • industrial internet

  • operating expenses
  • sophisticated predictive
  • machine learning
  • traditional reactive
  • significantly improve

  • disruptive innovation
  • data preparation
  • enable big
  • wind uncertainty
  • wind power

  • data integration
  • wind turbines
  • data associated
  • improve wind
  • largest wind

  • model tuning
  • approach extensively
  • sensors constitute
  • involve automation
  • potential business


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