Your Location:
Home >
Browse articles >
Research on Short-Term Photovoltaic Power Prediction Method Based on an Improved Rime Optimization Algorithm
Frontier AI Technologies and Large Model Applications for New Power Systems | Updated:2026-09-04
Research on Short-Term Photovoltaic Power Prediction Method Based on an Improved Rime Optimization Algorithm
- Power Generation Technology Vol. 47, Issue 4, Pages: 761-773(2026)
DOI: 10.12096/j.2096-4528.pgt.260408
Revised:2025-12-26
Scan QR Code
Full Text(HTML)
Figs( 6 ) Tabs( 6 )
References
Publication Info
Metrics
7
Views
3
Downloads
0
CSCD
Alert me when the article has been cited
Submit
Tools
- BibTeXDownload
- EndnoteDownload
- RefMan Download
- NoteExpressDownload
- NoteFirstDownload
Related Articles
Photovoltaic Power Prediction Based on Sample Entropy Clustering Decomposition-Inverted Transformer Model
Research on Ice Accretion Prediction Model for Wind Turbine Blades Based on Multi-Layer Perceptron Neural Network
State of Health Estimation for Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy
Research on Key Technologies for Enhancing Large Language Model Capabilities in Power Grid Dispatch and Control
Distributed Coordinated Optimization of Interconnected Island Microgrid Clusters Considering Multiple Flexible Resources
Related Author
SUN Huijuan
LUO Yong
FU Xuepeng
PENG Chunhua
HAN Bin
ZENG Zhixiang
KONG Fanxin
XIE Nan
Related Institution
School of Electrical and Automation Engineering, East China Jiaotong University
Xi’an Thermal Power Research Institute Co., Ltd.
School of Energy Science and Engineering, Central South University
Qingdao Rectifier Manufacturing Co., LTD.
School of Electrical Engineering, Qingdao University

