Short-Term Interval Forecasting of Photovoltaic Power Based on CEEMDAN-GSA-LSTM and SVR

被引：0
|
作者：
Li, Fen [1 ]
Sun, Ling [1 ]
Wang, Yawei [2 ]
Qu, Aifang [3 ]
Mei, Nian [4 ]
Zhao, Jinbin [1 ]
机构：
[1] College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai,200090, China
[2] Laboratory of Low Frequency Electromagnetic Communication Technology, The 722 Research Institute, CSSC, Wuhan,430205, China
[3] Mathematics and Science College, Shanghai Normal University, Shanghai,200234, China
[4] State Grid Economic and Technological Research Institute Co., Ltd., Beijing,102209, China
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2024年 / 58卷 / 06期
关键词：
Empirical mode decomposition;
D O I：
10.16183/j.cnki.jsjtu.2022.511
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：806 / 818
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