Enhancing wind speed forecasting accuracy using a GWO-nested CEEMDAN-CNN-BiLSTM model

This study introduces an advanced artificial model, grey wolf optimization (GWO)-nested complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)-convolutional neural network (CNN)-bidirectional long short-term memory (BiLSTM), for wind speed forecasting. Initially, CEEMDAN with t...

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Bibliographic Details

Published in:	ICT Express
Main Authors:	Quoc Bao Phan, Tuy Tan Nguyen
Format:	Article
Language:	English
Published:	Elsevier 2024-06-01
Subjects:	Decomposition Optimization Convolutional neural network Bidirectional long short-term memory Wind speed forecasting
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405959523001522