Editorial: Advanced data-driven methods for monitoring solar and wind energy systems

被引：4
|
作者：
Harrou, Fouzi [1 ]
Sun, Ying [1 ]
Dairi, Abdelkader [2 ]
Taghezouit, Bilal [3 ]
Khadraoui, Sofiane [4 ]
机构：
[1] King Abdullah Univ Sci & Technol KAUST, Comp Elect & Math Sci & Engn CEMSE Div, Thuwal, Saudi Arabia
[2] Univ Sci & Technol Oran Mohamed Boudiaf USTO MB, Comp Sci Dept, Oran, Algeria
[3] Ctr Dev Energies Renouvelables CDER, Algiers, Algeria
[4] Univ Sharjah, Dept Elect Engn, Sharjah, U Arab Emirates
来源：
FRONTIERS IN ENERGY RESEARCH | 2023年 / 11卷
关键词：
wind turbine; photovoltaic systems; wind and solar power prediction; anomaly detection; data-driven methods;
D O I：
10.3389/fenrg.2023.1147746
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：
引用
收藏
页数：2
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