Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting

Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting

Although the random forest (RF) model is a powerful machine learning tool that has been utilized in many wind speed/power forecasting studies, there has been no consensus on optimal RF modeling strategies. This study investigates three basic questions which aim to assist in the discernment and quant...

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Bibliographic Details
Main Authors:	Daniel Vassallo, Raghavendra Krishnamurthy, Thomas Sherman, Harindra J. S. Fernando
Format:	Article
Language:	English
Published:	MDPI AG 2020-10-01
Series:	Energies
Subjects:	wind speed forecasting machine learning random forest
Online Access:	https://www.mdpi.com/1996-1073/13/20/5488

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