A Joint Scenario Generation Method for Wind-Solar Meteorological Resources Based on Improved Generative Adversarial Network

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New Energy and Energy Storage | 更新时间：2025-12-05

- A Joint Scenario Generation Method for Wind-Solar Meteorological Resources Based on Improved Generative Adversarial Network
- “In the field of renewable energy, experts have proposed a joint scenario generation method for wind, solar and meteorological resources based on DCGAN, which effectively overcomes the uncertainty in new energy power prediction and provides support for power system planning and decision-making.”
- Electric Power Vol. 58, Issue 3, Pages: 183-192(2025)
- 作者机构：
  
  1.中广核（山东）新能源投资有限公司，山东济南　250014
  2.山东大学电气工程学院，山东济南　250061
- 作者简介：
- 基金信息：
  
  This work is supported by Science and Technology Project of SGCC (No.4000-202355381A-2-3-XG) and National Natural Science Foundation of China (No.52177095).
- DOI：10.11930/j.issn.1004-9649.202410048
  CLC：
- Received：15 October 2024，
  
  Revised：2024-11-01，
  
  Published：28 March 2025
- 稿件说明：
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Tonghai JIANG, Feng WANG, Ziqi LIU, et al. A Joint Scenario Generation Method for Wind-Solar Meteorological Resources Based on Improved Generative Adversarial Network[J]. Electric Power, 2025, 58(3): 183-192.
DOI：

Tonghai JIANG, Feng WANG, Ziqi LIU, et al. A Joint Scenario Generation Method for Wind-Solar Meteorological Resources Based on Improved Generative Adversarial Network[J]. Electric Power, 2025, 58(3): 183-192. DOI： 10.11930/j.issn.1004-9649.202410048.

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