An Ultra-Short-Term Wind Power Forecasting Model Based on EMD-EncoderForest-TCN

An Ultra-Short-Term Wind Power Forecasting Model Based on EMD-EncoderForest-TCN

Accurate wind power prediction helps to stabilize the operation of the power system, improve the utilization rate of renewable energy, reduce dependence on traditional energy, and achieve sustainable energy development. An ultra short-term wind power prediction method integrating EMD-EncoderForest-T...

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Bibliographic Details
Main Authors: Yu Sun, Junjie Yang, Xiaotian Zhang, Kaiyuan Hou, Jiyun Hu, Guangzhi Yao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Wind power
empirical mode decomposition
encoderforest
temporal convolutional network
ultra short term wind power prediction
Online Access:https://ieeexplore.ieee.org/document/10460523/

Internet

https://ieeexplore.ieee.org/document/10460523/

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