Photovoltaic Power Prediction Based on Sample Entropy Clustering Decomposition-Inverted Transformer Model

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Photovoltaic Power Prediction Based on Sample Entropy Clustering Decomposition-Inverted Transformer Model

Frontier AI Technologies and Large Model Applications for New Power Systems | Updated：2026-09-04

- Photovoltaic Power Prediction Based on Sample Entropy Clustering Decomposition-Inverted Transformer Model
- SUN Huijuan , LUO Yong , FU Xuepeng , PENG Chunhua
- Power Generation Technology Vol. 47, Issue 4, Pages: 720-730(2026)
- Affiliations：
  School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, Jiangxi Province, China
- Author bio：
  Sun Huijuan (1982), female, Master's Degree, Professor. Research interests focus on smart grid optimal dispatch and new energy generation prediction. Email: sunhuijuan1982@163.com
  Luo Yong (1999), male, Master's Candidate. Research interests focus on new energy generation forecasting. Email: 1870369638@qq.com
  Fu Xuepeng (1998), male, Master's Candidate. Research interests focus on new energy generation forecasting. Email: 1728840326@qq.com
  Peng Chunhua (1973), male, Ph.D., Professor. Research interests focus on power system planning and operation, and the optimal regulation and control of smart energy systems. Email: chinapch@163.com (corresponding author)
- Funds：
- DOI： 10.12096/j.2096-4528.pgt.260404
  CLC：
- Revised：2025-09-13 ，
- Accepted：
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