A Novel Hybrid Predictive Model for Ultra-Short-Term Wind Speed Prediction

A Novel Hybrid Predictive Model for Ultra-Short-Term Wind Speed Prediction

A novel hybrid model is proposed to improve the accuracy of ultra-short-term wind speed prediction by combining the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), the sample entropy (SE), optimized recurrent broad learning system (ORBLS), and broadened tempor...

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Bibliographic Details
Main Authors:	Longnv Huang, Qingyuan Wang, Jiehui Huang, Limin Chen, Yin Liang, Peter X. Liu, Chunquan Li
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Energies
Subjects:	wind speed forecast optimized recurrent BLS broadened TCN data preprocessing
Online Access:	https://www.mdpi.com/1996-1073/15/13/4895

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