Wind Power Interval Prediction Based on CGAN and KELM under Extreme Weather Scenarios-Reference-Cited by-同舟云学术

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Wind Power Interval Prediction Based on CGAN and KELM under Extreme Weather Scenarios

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
language:
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Author:

Deng Weisi¹,Dai Zhongfu²,Chen Ruofan²,Wang Haohuai¹,Lu Siyu²,Li Chonghao¹,Zhou Baorong²

Affiliation:

1. Power Dispatch and Control Center of China Southern Power Grid,Hydropower and New Energy Department,Guangzhou,China

2. Institute of China Southern Power Grid Company Limited,State Key Laboratory of HVDC Electric Power Research,New Power System Research Department,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294329/10294332/10294890.pdf?arnumber=10294890

Reference15 articles.

1. Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model

2. Direct Interval Forecasting of Wind Power

3. Wind Power Interval Prediction with Adaptive Rolling Error Correction Based on PSR-BLS-QR

4. Wind power interval prediction based on variational mode decomposition and the fast gate recurrent unit

5. Short Term Wind Power Prediction for Regional Wind Farms Based on Spatial-Temporal Characteristic Distribution[J];yu;Renewable Energy,2022

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