Efficient Supervised Machine Learning Network for Non-Intrusive Load Monitoring

Efficient Supervised Machine Learning Network for Non-Intrusive Load Monitoring

From a single meter that measures the entire home’s electrical demand, energy disaggregation calculates appliance-by-appliance electricity consumption. Non-intrusive load monitoring (NILM), also known as energy disaggregation, tries to decompose aggregated energy consumption data and estimate each a...

Full description

Bibliographic Details
Main Authors: Muhammad Usman Hadi, Nik Hazmi Nik Suhaimi, Abdul Basit
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Technologies
Subjects:
NILM
energy disaggregation
ENSML model
Online Access:https://www.mdpi.com/2227-7080/10/4/85

Similar Items

Similar Items