Intelligent Generation Method for Operation Mode Samples of Optimal New Energy Consumption Based on GAN-RL

LI Shuaihu; LI Handian; ZOU Tan; WANG Weiyu; CAO Yijia

doi:10.13648/j.cnki.issn1674-0629.2025.03.013

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Intelligent Generation Method for Operation Mode Samples of Optimal New Energy Consumption Based on GAN-RL

Intelligent Driving Method and Efficient Solving Technology for Optimizing Scheduling of New Power Systems | 更新时间：2025-07-29

- Intelligent Generation Method for Operation Mode Samples of Optimal New Energy Consumption Based on GAN-RL
- “In the field of power grid operation, experts have proposed an intelligent generation method for new energy consumption samples based on GAN and RL, which effectively improves the problem of insufficient new energy consumption and provides data support for power grid scheduling decisions.”
- Southern Power System Technology Vol. 19, Issue 3, Pages: 141-152(2025)
- 作者机构：
  
  电网防灾减灾全国重点实验室（长沙理工大学），长沙 411014
- 作者简介：
- 基金信息：
  
  the Joint Funds of the National Natural Science Foundation of China(U23B200694);the Natural Science Foundation of Hunan Province of China(2023JJ30024)
- DOI：10.13648/j.cnki.issn1674-0629.2025.03.013
  CLC： TM73
- Received：16 January 2024，
  
  Published Online：24 June 2024，
  
  Published：20 March 2025
- 稿件说明：
移动端阅览
李帅虎,李汉典,邹谈等.基于GAN-RL最优新能源消纳的运行方式样本智能生成方法[J].南方电网技术,2025,19(03):141-152.

LI Shuaihu,LI Handian,ZOU Tan,et al.Intelligent Generation Method for Operation Mode Samples of Optimal New Energy Consumption Based on GAN-RL[J].Southern Power System Technology,2025,19(03):141-152.
李帅虎,李汉典,邹谈等.基于GAN-RL最优新能源消纳的运行方式样本智能生成方法[J].南方电网技术,2025,19(03):141-152. DOI： 10.13648/j.cnki.issn1674-0629.2025.03.013.

LI Shuaihu,LI Handian,ZOU Tan,et al.Intelligent Generation Method for Operation Mode Samples of Optimal New Energy Consumption Based on GAN-RL[J].Southern Power System Technology,2025,19(03):141-152. DOI： 10.13648/j.cnki.issn1674-0629.2025.03.013.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Energy Scheduling Strategy for Electric Vehicle Aggregators Considering Vehicle Owners Demands

Electric Power Patrol Inspection Image Enhancement Method with Per-Pixel Self-Paced Adversarial Network

Related Author

QIN Guangfeng

LIU Didi

XIAN Yanhua

NONG liping

LU Hongbing

HUANG Yuanqing

SHAO Jie

ZHUANG Xuecheng

Related Institution

School of Electronic and Information engineering , Guangxi Normal University

Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips, Guangxi Normal University

Guangxi Science & Technology Normal University

College of Electronics and Information Engineering, Shanghai University of Electric Power

School of Electrical Engineering, Xi’an Jiaotong University

AI导读

AI脑图

AI问答

⁰

Intelligent Generation Method for Operation Mode Samples of Optimal New Energy Consumption Based on GAN-RL

DOI：10.13648/j.cnki.issn1674-0629.2025.03.013