Short-Term PV Power Prediction Considering Weather-Coupled Similar Days

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Short-Term PV Power Prediction Considering Weather-Coupled Similar Days

New Energy | Updated：2026-06-03

- Short-Term PV Power Prediction Considering Weather-Coupled Similar Days
- LU Jing , YANG Yuanhao , WANG Zhonghong , WANG Rui
- Power Generation Technology Vol. 47, Issue 1, Pages: 53-64(2026)
- Affiliations：
  1.School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, Henan Province, China
  2.School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, Henan Province, China
  3.Huaneng Rizhao Power Plant, Rizhao 276826, Shandong Province, China
- Author bio：
  LU Jing (1980), female, Master’s Degree, Associate Professor. Research interests focus on new energy power prediction, deep learning, and Internet of Things technology. Email: lujing@hpu.edu.cn
  YANG Yuanhao (2000), male, Master Candidate. Research interests focus on power forecasting for new energy systems. Email: 1924532335@qq.com
  WANG Zhonghong (1977), male, Senior Engineer. Research interests focus on centralized control operation of thermal power units, boiler maintenance, and new energy operation and maintenance management. Email: wzhsywsc@163.com
  WANG Rui (1977), male, Master’s Degree, Associate Professor. Research interests focus on power system analysis and intelligent information processing. Email: wangrui@hpu.edu.cn
- Funds：
- DOI： 10.12096/j.2096-4528.pgt.260105
  CLC：
- Revised：2025-04-24 ，
- Accepted：
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