Implementing Machine Learning in the PCWG Tool: NREL (National Renewable Energy Laboratory)

Andrew Clifton, Yu Ding, Peter Stuart

Research output: NRELPresentation


The Power Curve Working Group ( is an ad-hoc industry-led group to investigate the performance of wind turbines in real-world conditions. As part of ongoing experience-sharing exercises, machine learning has been proposed as a possible way to predict turbine performance. This presentation provides some background information about machine learning and how it might be implemented in the PCWG exercises.
Original languageAmerican English
Number of pages13
StatePublished - 2016

Publication series

NamePresented at the Power Curve Working Group Meeting, 13 December 2016, Glasgow, Scotland

NREL Publication Number

  • NREL/PR-5D00-67641


  • machine learning
  • PCWG
  • Power Curve Working Group
  • turbine performance
  • wind


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