2024
DOI: 10.3389/fenrg.2024.1404165
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Short-term wind power prediction and uncertainty analysis based on VDM-TCN and EM-GMM

Bo Peng,
Jing Zuo,
Yaodong Li
et al.

Abstract: Due to the fluctuating and intermittent nature of wind energy, its prediction is uncertain. Hence, this paper suggests a method for predicting wind power in the short term and analyzing uncertainty using the VDM-TCN approach. This method first uses Variational Mode Decomposition (VDM) to process the data, and then utilizes the temporal characteristics of Temporal Convolutional Neural Network (TCN) to learn and predict the dataset after VDM processing. Through comparative experiments, we found that VDM-TCN perf… Show more

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