Refinement Generation Method of Renewable Energy Scenario Based on Information Maximizing Generative Adversarial Network-Reference-Cited by-同舟云学术

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Refinement Generation Method of Renewable Energy Scenario Based on Information Maximizing Generative Adversarial Network

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE)
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Author:

Zhao Zhenyu¹,Zhao Chuan¹,Li Xiangyong¹,Chen Zongyuan²,Pan Zhenning²,Liu Shuangquan¹

Affiliation:

1. Yunnan Electric Power Dispatching and Control Center,Kunming,Yunnan,China,650011

2. College of Electric Power, South China University of Technology,Guangzhou,Guangdong,China,510610

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10351781/10351782/10351836.pdf?arnumber=10351836

Reference10 articles.

1. Review of wind power scenario generation methods for optimal operation of renewable energy systems

2. Wind power scenario generation through state-space specifications for uncertainty analysis of wind power plants

3. A New Wind Speed Scenario Generation Method Based on Principal Component and R-Vine Copula Theories

4. Wind Power Scenario Generation and Reduction in Stochastic Programming Framework

5. Wind Power Scenario Generation for Multiple Wind Farms Based on Atmospheric Dynamic Model [J];Pai,2015

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