Nonintrusive Load Monitoring Using Recurrent Neural Networks with Occupants Location Information in Residential Buildings

Nonintrusive Load Monitoring Using Recurrent Neural Networks with Occupants Location Information in Residential Buildings

Nonintrusive load monitoring (NILM) is a process that disaggregates individual energy consumption based on the total energy consumption. In this study, an energy disaggregation model was developed and verified using an algorithm based on a recurrent neural network (RNN). It also aimed to evaluate th...

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Bibliographic Details
Main Authors: Lee, M.-H (Author), Moon, H.-J (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Disaggregation
Electric load management
Energy
Energy utilization
Energy-consumption
Gated recurrent unit
gated recurrent unit (GRU)
Hidden Markov models
Location
Location information
Long short-term memory
Mean square error
Nonintrusive load monitoring
nonintrusive load monitoring (NILM)
occupant location information
Occupant location information
Performance
Recurrent neural network
recurrent neural network (RNN)
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