Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales-Reference-Cited by-同舟云学术

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Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales

Published:2024 Issue: Volume:12 Page:25129-25145
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Tianren¹^ORCID,Huang Yuping¹^ORCID,Liao Hui¹^ORCID,Gong Xianfu²,Peng Bo²

Affiliation:

1. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou, China

2. Grid Planning and Research Center, Guangdong Power Grid Company Ltd., Guangzhou, China

Funder

Guangdong Basic and Applied Basic Research Foundation

Science and Technology Project of China Southern Power Grid Company Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10433497.pdf?arnumber=10433497

Reference35 articles.

1. Global wind report 2021;Zhao,2021

2. Application of autoregressive dynamic adaptive (ARDA) model in real-time wind power forecasting

3. Data mining and wind power prediction: A literature review

4. Using atmospheric inputs for Artificial Neural Networks to improve wind turbine power prediction

5. Research on Ultra-Short-Term Wind Power Prediction Considering Source Relevance

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Short-term wind power prediction and uncertainty analysis based on VDM-TCN and EM-GMM;Frontiers in Energy Research;2024-07-22

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