A review of machine learning applications in IoT-integrated modern power systems

被引:2
|
作者
Farhoumandi M. [1 ]
Zhou Q. [1 ]
Shahidehpour M. [1 ]
机构
[1] Galvin Center for Electricity Innovation, Illinois Institute of Technology, Chicago, 60616, IL
来源
Electricity Journal | 2021年 / 34卷 / 01期
关键词
Data analysis; Internet of things; Machine learning; Power system;
D O I
10.1016/j.tej.2020.106879
中图分类号
学科分类号
摘要
This paper aims to provide a systematic and comprehensive survey of state-of-the-art machine learning techniques and their potential applications in IoT-integrated power systems. © 2020 Elsevier Inc.
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