Artificial Intelligence Techniques Applied on Renewable Energy Systems: A Review

被引:4
|
作者
Lateef, Ali Azawii Abdul [1 ]
Al-Janabi, Sameer I. Ali [2 ]
Abdulteef, Omar Azzawi [3 ]
机构
[1] Univ Anbar, Human Resources Dept, Anbar, Iraq
[2] Univ Anbar, Coll Islamic Sci, Anbar, Iraq
[3] Minist Educ, Anbar Directorate, Planning Dept, Anbar, Iraq
关键词
Artificial intelligence; Renewable energy; Solar energy; CONTROL STRATEGIES; NEURAL-NETWORKS; WIND; PREDICTION; ANN;
D O I
10.1007/978-981-19-0604-6_25
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Renewable energy is gaining traction as an efficient alternative source of energy; it is considerably safer and healthier than traditional energy, and it has greatly contributed to this area. However, there are still several areas that need improvement in order to meet this rapidly expanding technology. AI technology can evaluate the previous, improve the current, and predict what will happen. As a result, AI will fix the majority of these issues. AI is complicated, but it lowers error and aspires for better precision, making energies more intelligent. This paper presents an overview of commonly utilized artificial intelligence (AI) techniques in sustainable sources of energy applications. AI is applied in practically every form of energy for design, optimization, prediction, administration, transmission, and regulation (wind, solar, geothermal, hydro, ocean, bio, hydrogen, and hybrid). Throughout this aspect, the purpose of this study is to highlight the AI techniques utilized in the field of renewable energy.
引用
收藏
页码:297 / 308
页数:12
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