Non-Intrusive Load Disaggregation by Convolutional Neural Network and Multilabel Classification

Non-Intrusive Load Disaggregation by Convolutional Neural Network and Multilabel Classification

Non-intrusive load monitoring (NILM) is the main method used to monitor the energy footprint of a residential building and disaggregate total electrical usage into appliance-related signals. The most common disaggregation algorithms are based on the Hidden Markov Model, while solutions based on deep...

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Bibliographic Details
Main Authors: Luca Massidda, Marino Marrocu, Simone Manca
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
energy disaggregation
non-intrusive load monitoring
convolutional neural network
deep learning
Online Access:https://www.mdpi.com/2076-3417/10/4/1454

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