Approaches to Non-Intrusive Load Monitoring (NILM) in the Home

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Graduate student (PhD)
Date created: 
2012-10-24
Keywords: 
nointrusive load monitoring
NILM
load disaggregation
energy modelling
survey
energy conservation
sustainability
Abstract: 

When designing and implementing an intelligent energy conservation system for the home, it is essential to have insight into the activities and actions of the occupants. In particular, it is important to understand what appliances are being used and when. In the computational sustainability research community this is known as load disaggregation or Non-Intrusive Load Monitoring (NILM). NILM is a foundational algorithm that can disaggregate a home’s power usage into the individual appliances that are running, identify energy conservation opportunities. This depth report will focus on NILM algorithms, their use and evaluation. We will examine and evaluate the anatomy of NILM, looking at techniques using load monitoring, event detection, feature ex- traction, classification, and accuracy measurement. 

Language: 
English
Document type: 
Technical Report
Rights: 
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