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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Energies (Basel) Ročník 18; číslo 3; s. 542
Hlavní autoři:	Du, Muyuan, Zhang, Zhimeng, Ji, Chunning
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.02.2025
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!