首页|期刊导航|高技术通讯（英文版）|A short-term photovoltaic power prediction method based on improved spectral clustering-DTW and Stacking fusion
高技术通讯（英文版）2025，Vol.31Issue(3)：288-299,12.DOI:10.3772/j.issn.1006-6748.2025.03.009
A short-term photovoltaic power prediction method based on improved spectral clustering-DTW and Stacking fusion
A short-term photovoltaic power prediction method based on improved spectral clustering-DTW and Stacking fusion
摘要
关键词
photovoltaic output prediction/feature dimension optimization/recursive feature selection/spectral clustering-dynamic time warping/stackingKey words
photovoltaic output prediction/feature dimension optimization/recursive feature selection/spectral clustering-dynamic time warping/stacking引用本文复制引用
梅冰笑,MA Lyubin,YIN Jie,XIE Zhiduo,WANG Feng..A short-term photovoltaic power prediction method based on improved spectral clustering-DTW and Stacking fusion[J].高技术通讯（英文版）,2025,31(3):288-299,12.基金项目
Supported by the National Natural Science Foundation of China(No.52005442)and the Technology Project of Zhejiang Huayun Information Technology Co.,Ltd.(No.HYJT/JS-2020-004). （No.52005442）
