Multi-Step Ahead Wind Power Generation Prediction Based on Hybrid Machine Learning Techniques

Multi-Step Ahead Wind Power Generation Prediction Based on Hybrid Machine Learning Techniques

Accurate generation prediction at multiple time-steps is of paramount importance for reliable and economical operation of wind farms. This study proposed a novel algorithmic solution using various forms of machine learning techniques in a hybrid manner, including phase space reconstruction (PSR), in...

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Bibliographic Details
Main Authors: Wei Dong, Qiang Yang, Xinli Fang
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Energies
Subjects:
multi-step ahead prediction
phase space reconstruction
input variable selection
K-means clustering
neuro-fuzzy inference system
wind power prediction
Online Access:http://www.mdpi.com/1996-1073/11/8/1975

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http://www.mdpi.com/1996-1073/11/8/1975

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