State-Of-The-Art Solar Energy Forecasting Approaches: Critical Potentials and Challenges

被引：11
|
作者：
Ye, Haoying [1 ]
Yang, Bo [1 ]
Han, Yiming [1 ]
Chen, Nuo [2 ]
机构：
[1] Kunming Univ Sci & Technol, Fac Elect Power Engn, Kunming, Peoples R China
[2] China Southern Power Grid EHV Transmiss Co, Kunming, Peoples R China
来源：
FRONTIERS IN ENERGY RESEARCH | 2022年 / 10卷
关键词：
solar energy forecasting; statistical methods; physical methods; artificial intelligence methods; potentials and challenges; MODEL;
D O I：
10.3389/fenrg.2022.875790
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
[No abstract available]
引用
收藏
页数：5
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