您当前的位置:
首页 >
文章列表页 >
Transfer Learning-Based Prediction Model for Cross-Regional Distribution Network Investment Benefits
Power Grid | 更新时间:2025-10-13
    • Transfer Learning-Based Prediction Model for Cross-Regional Distribution Network Investment Benefits

    • “In the context of energy transition, experts have proposed a deep transfer learning framework to solve the problem of predicting the investment benefits of cross regional distribution networks and provide new solutions for distribution network investment decisions.”
    • Rural Electrification   Issue 8, Pages: 35-38(2025)
    • DOI:10.13882/j.cnki.ncdqh.2505A007    

      CLC: [TM764;32400.14.ncdqh.2505A007
    • Received:08 May 2025,

      Revised:2025-06-16,

      Published:10 August 2025

    移动端阅览

  • Zhi HUANG. Transfer Learning-Based Prediction Model for Cross-Regional Distribution Network Investment Benefits[J]. Rural electrification, 2025, (8): 35-38. DOI: 10.13882/j.cnki.ncdqh.2505A007.

  •  
  •  

0

Views

4

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Study on Optimal Scheduling of Electricity Cooling Heating Integrated Energy System Considering Carbon Emissions

Related Author

Hao LU
Yaoyao JIANG

Related Institution

State Grid Zhejiang Electric Power Co., Ltd. Chun'an County Power Supply Company
Chun'an County Electric Power Industry Co., Ltd.
0