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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Prif Awduron:	Quoc Bao Phan, Tuy Tan Nguyen
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	Elsevier 2024-06-01
Cyfres:	ICT Express
Pynciau:	Decomposition Optimization Convolutional neural network Bidirectional long short-term memory Wind speed forecasting
Mynediad Ar-lein:	http://www.sciencedirect.com/science/article/pii/S2405959523001522
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