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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Bibliographic Details
Main Authors: Md. Tanvir Ahammed, Md. Mehedi Hasan, Md. Shamsul Arefin, Md. Rafiqul Islam, Md. Aminur Rahman, Eklas Hossain, Md. Tanvir Hasan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Non-intrusive load monitoring
real-time load classification
IoT framework
machine learning
variation of supply voltage
Online Access:https://ieeexplore.ieee.org/document/9511265/

Internet

https://ieeexplore.ieee.org/document/9511265/

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