Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network

Accurate and comprehensive wind speed forecasting is crucial for improving efficiency in offshore wind power operation systems in coastal regions. However, raw wind speed data often suffer from noise and missing values, which can undermine the prediction performance. This study proposes a systematic...

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Bibliographic Details
Published in:	Energies (Basel) Vol. 18; no. 3; p. 542
Main Authors:	Du, Muyuan, Zhang, Zhimeng, Ji, Chunning
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.02.2025
Subjects:	Accuracy Algorithms Analysis Buildings Case studies Cost analysis data cleaning data imputation Data integrity Datasets Decision trees Deep learning Efficiency Forecasting Green technology Information management Machine learning Mathematical optimization Neural networks Noise control Optimization algorithms Performance evaluation Remodeling, restoration, etc Seq2Seq with attention Time series variational mode decomposition Water levels Wind power wind prediction United States United Kingdom Yellow Sea
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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