Comparison and Enhancement of Machine Learning Algorithms for Wind Turbine Output Prediction with Insufficient Data

Comparison and Enhancement of Machine Learning Algorithms for Wind Turbine Output Prediction with Insufficient Data

As the penetration of renewable energy sources into a power system increases, the significance of precise short-term forecasts for wind power generation becomes paramount. However, the erratic and non-periodic nature of wind poses challenges in accurately predicting the output. This paper presents a...

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Bibliographic Details
Main Authors: Subin Im, Hojun Lee, Don Hur, Minhan Yoon
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
renewable energy
wind power forecasting
wind turbine generator
artificial intelligence
CNN
LSTM
Online Access:https://www.mdpi.com/1996-1073/16/15/5810

Internet

https://www.mdpi.com/1996-1073/16/15/5810

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