A Comparative Study of Machine Learning Techniques for Wind Turbine Performance Prediction

A Comparative Study of Machine Learning Techniques for Wind Turbine Performance Prediction

The abstract describes a comparative study of various machine learning techniques for wind turbine performance prediction. The dataset used in this study is obtained from the National Renewable Energy Laboratory (NREL) and contains meteorological data and power output from a wind turbine. The machin...

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Bibliographic Details
Main Authors: Muralidharan S., Parthasarathy S., A. Deepa, Jersha Jermin
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Subjects:
wind turbine
performance prediction
artificial neural network
support vector machine
random forest
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_04011.pdf

Internet

https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_04011.pdf

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