Implementing Machine Learning in the PCWG Tool
Conference
·
OSTI ID:1340651
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.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1340651
- Report Number(s):
- NREL/PR-5D00-67641
- Resource Relation:
- Conference: Presented at the Power Curve Working Group Meeting, 13 December 2016, Glasgow, Scotland
- Country of Publication:
- United States
- Language:
- English
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