Accuracy Improvement of Non-Intrusive Load Monitoring Using Voting-Based Consensus Clustering

Accuracy Improvement of Non-Intrusive Load Monitoring Using Voting-Based Consensus Clustering

Widespread inculcation of smart meter data in modern grid is motivating stakeholders to utilize it for demand response management and achieving energy sustainability goals. One of the methods being used in this regard is Non-Intrusive Load Monitoring (NILM); for disaggregating individual devices fro...

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Bibliographic Details
Main Authors: Muzzamil Ghaffar, Shakil Rehman Sheikh, Noman Naseer, Syed Ali Usama, Bashir Salah, Soliman Abdul Karim Alkhatib
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Spectral clustering
voting based consensus clustering
non-intrusive load monitoring
smart buildings
energy disaggregation
Online Access:https://ieeexplore.ieee.org/document/10132857/

Internet

https://ieeexplore.ieee.org/document/10132857/

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