Short-Term Power Prediction of Wind Turbine Applying Machine Learning and Digital Filter

Short-Term Power Prediction of Wind Turbine Applying Machine Learning and Digital Filter

As wind energy development increases, accurate wind energy forecasting helps to develop sensible power generation plans and ensure a balance between supply and demand. Machine-learning-based forecasting models possess exceptional predictive capabilities, and data manipulation prior to model training...

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Bibliographic Details
Main Authors:	Shujun Liu, Yaocong Zhang, Xiaoze Du, Tong Xu, Jiangbo Wu
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Applied Sciences
Subjects:	renewable energy long short-term memory neural network power prediction multi-step prediction
Online Access:	https://www.mdpi.com/2076-3417/13/3/1751

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