Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network

Title
Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network
Authors
Keywords
Bidirectional-long short-term memory network (Bi-LSTM), Convolutional neural network (CNN), Forecasting, Improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), Uncertainty, Wind
Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 206, Issue -, Pages 107821
Publisher
Elsevier BV
Online
2022-01-29
DOI
10.1016/j.epsr.2022.107821

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