@misc{ac68d08b9dbc4562ba04f2776ec4efa4,
title = "Implementing Machine Learning in the PCWG Tool: NREL (National Renewable Energy Laboratory)",
abstract = "The Power Curve Working Group (www.pcwg.org) 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.",
keywords = "machine learning, PCWG, Power Curve Working Group, turbine performance, wind",
author = "Andrew Clifton and Yu Ding and Peter Stuart",
year = "2016",
language = "American English",
series = "Presented at the Power Curve Working Group Meeting, 13 December 2016, Glasgow, Scotland",
type = "Other",
}
