Short-term wind power prediction based on EMD-LSTM-Reference-Cited by-同舟云学术

Short-term wind power prediction based on EMD-LSTM

Published:2023-01-29 Issue: Volume: Page:
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Container-title:2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA)
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Author:

Zhou Zhiyi¹,Sun Shuwei¹,Gao Yuan²

Affiliation:

1. Huaneng Liaoning Power Supply Co., Ltd,Shenyang,China

2. Northeastern University at Qinhuangdao,Qinhuangdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10075685/10075655/10076173.pdf?arnumber=10076173

Reference11 articles.

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3. Short-term wind power portfolio prediction model based on empirical modal decomposition and support vector machine[J];ye;Chinese Journal of Electrical Engineering,2011

4. Research on combined wind power prediction method based on physical-data fusion[D];wang,2022

5. Research on wind farm power prediction method[J];zhang;Electronic Switching,2017

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