Wind Speed Prediction Method Based on Combined Deep Learning Model

The necessity of precise wind speed forecasts is crucial for integrating wind turbines into microgrids. This study introduces a hybrid forecast approach that initially optimizes the key factors of variational modal decomposition (VMD) through the whale optimization algorithm (WOA). Then decomposes t...

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Veröffentlicht in:	2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP) S. 1251 - 1255
Hauptverfasser:	Zeng, Chuxi, Xia, Zhipnig, Zhou, Yihuan, Li, Xi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.04.2024
Schlagworte:	combined deep learning model component Computational modeling Correlation coefficient Data models Deep learning gate recurrent unit Prediction algorithms Predictive models Signal processing algorithms temporal convolutional network variational modal decomposition whale optimization Wind farms Wind forecasting Wind speed Wind speed prediction
Online-Zugang:	Volltext
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