A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing

A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing

Non-intrusive load monitoring (NILM) is a process of estimating operational states and power consumption of individual appliances, which if implemented in real-time, can provide actionable feedback in terms of energy usage and personalized recommendations to consumers. Intelligent disaggregation alg...

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Bibliographic Details
Main Authors: Hasan Rafiq, Xiaohan Shi, Hengxu Zhang, Huimin Li, Manesh Kumar Ochani
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
non-intrusive load monitoring
deep recurrent neural network
LSTM
feature space
energy disaggregation
Online Access:https://www.mdpi.com/1996-1073/13/9/2195

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