Hybrid Ensemble Framework for Short-Term Wind Speed Forecasting

Hybrid Ensemble Framework for Short-Term Wind Speed Forecasting

A novel hybrid ensemble framework is developed to forecast the short-term wind speed, which consists of a data preprocessing technique, data-driven based forecasting algorithms, and an improved Jaya algorithm. In the data preprocessing process, the pauta criterion is employed to find out the outlier...

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Bibliographic Details
Main Authors: Zhenhao Tang, Gengnan Zhao, Gong Wang, Tinghui Ouyang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Wind speed forecasting
data preprocessing
hybrid ensemble framework
artificial neural networks
optimization
Online Access:https://ieeexplore.ieee.org/document/9024032/

Internet

https://ieeexplore.ieee.org/document/9024032/

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