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A review of machine learning applications in IoT-integrated modern power systems |
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| Authors: | Matin Farhoumandi Quan Zhou Mohammad Shahidehpour |
| Affiliation: | Galvin Center for Electricity Innovation, Illinois Institute of Technology, Chicago, IL, 60616, United States |
| Abstract: | 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. |
| Keywords: | Machine learning Internet of things Power system Data analysis |
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