Day-ahead Prediction of Wind Power Based on Conditional Generative Adversarial Network-Reference-Cited by-同舟云学术

Day-ahead Prediction of Wind Power Based on Conditional Generative Adversarial Network

Published:2021-12-23 Issue: Volume: Page:
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Container-title:2021 IEEE Sustainable Power and Energy Conference (iSPEC)
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Author:

Dong Jinyong¹,Chen Jian¹,Wu Qiuwei²,Pan Bo³,Liu Gang³

Affiliation:

1. Shandong University,School of Electrical Engineering,Jinan,China

2. Techncial University of Denmark,Centre for Electric Power and Energy,Department of Electrical Egineering,Kgs. Lyngby,Denmark,2800

3. Jiaxing Guodiantong New Energy Technology Co., Ltd, Building 29, Zhifu center, No. 966, Xiuyuan Road,Jiaxing City,Zhejiang Province,China Zhejiang, China,314000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9735429/9735430/09735562.pdf?arnumber=9735562

Reference11 articles.

1. Deep learning based ensemble approach for probabilistic wind power forecasting

2. Distributed Multi-Energy Operation of Coupled Electricity, Heating, and Natural Gas Networks

3. Conditional Generative Adversarial Nets[J];mirza;Computer Science,2014

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