Real-Time Non-Intrusive Electrical Load Classification Over IoT Using Machine Learning

Real-Time Non-Intrusive Electrical Load Classification Over IoT Using Machine Learning

In this era of technological advancement, the flow of an enormous amount of information has become such an inevitable phenomenon that makes a path for the takeover of the internet of things (IoT) based smart grid from the currently available grid system. In a smart grid, demand-side management plays...

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Autores principales: Md. Tanvir Ahammed, Md. Mehedi Hasan, Md. Shamsul Arefin, Md. Rafiqul Islam, Md. Aminur Rahman, Eklas Hossain, Md. Tanvir Hasan
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Non-intrusive load monitoring
real-time load classification
IoT framework
machine learning
variation of supply voltage
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/315e43e312214815ae385b8e549f6bd6
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https://doaj.org/article/315e43e312214815ae385b8e549f6bd6

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