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https://doi.org/10.2139/ssrn.4673915

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inferredcites →https://doi.org/10.1016/j.enbuild.2018.06.058openalex-extracted
Interactive visualization for NILM in large buildings using non-negative matrix factorization
inferredcites →https://doi.org/10.1016/j.enbuild.2018.11.013openalex-extracted
A NILM algorithm with enhanced disaggregation scheme under harmonic current vectors
inferredcites →https://doi.org/10.1016/j.enbuild.2019.06.046openalex-extracted
MO-NILM: A multi-objective evolutionary algorithm for NILM classification
inferredcites →https://doi.org/10.1016/j.enbuild.2022.111951openalex-extracted
NILM applications: Literature review of learning approaches, recent developments and challenges
inferredcites →https://doi.org/10.1016/j.eswa.2020.113669openalex-extracted
Non-intrusive load disaggregation based on composite deep long short-term memory network
inferredcites →https://doi.org/10.1016/j.ijepes.2021.106837openalex-extracted
Sequence to point learning based on bidirectional dilated residual network for non-intrusive load monitoring
inferredcites →https://doi.org/10.1016/j.procir.2019.04.110openalex-extracted
Non-intrusive Load Monitoring based on Convolutional Neural Network with Differential Input
inferredcites →https://doi.org/10.1049/joe.2018.8352openalex-extracted
Convolutional sequence to sequence non‐intrusive load monitoring
inferredcites →https://doi.org/10.1109/5.192069openalex-extracted
Nonintrusive appliance load monitoring
inferredcites →https://doi.org/10.1109/eeeic/icpseurope57605.2023.10194770openalex-extracted
Non-Intrusive Load Monitoring (NILM) using Deep Neural Networks: A Review
inferredcites →https://doi.org/10.1109/ei247390.2019.9062180openalex-extracted
Deep Neural Network in Sequence to Short Sequence Form for Non-intrusive Load Monitoring
inferredcites →https://doi.org/10.1109/ei252483.2021.9713195openalex-extracted
Incorporating Knowledge Distillation Into Non-intrusive Load Monitoring for Hardware Systems Deployment
inferredcites →https://doi.org/10.1109/icassp.2019.8683110openalex-extracted
Bayesian-optimized Bidirectional LSTM Regression Model for Non-intrusive Load Monitoring
inferredcites →https://doi.org/10.1109/icwapr54887.2021.9736149openalex-extracted
Using Deep Learning and Knowledge Transfer to Disaggregate Energy Consumption
inferredcites →https://doi.org/10.1109/tsg.2020.2974347openalex-extracted
Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models
inferredcites →https://doi.org/10.1109/tsg.2021.3139395openalex-extracted
SAMNet: Toward Latency-Free Non-Intrusive Load Monitoring via Multi-Task Deep Learning
inferredcites →https://doi.org/10.1137/1.9781611972818.64openalex-extracted
Unsupervised Disaggregation of Low Frequency Power Measurements
inferredcites →https://doi.org/10.1145/2821650.2821672openalex-extracted
Neural NILM
inferredcites →https://doi.org/10.1145/3427771.3427845openalex-extracted
Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning
inferredcites →https://doi.org/10.3390/app10041454openalex-extracted
Non-Intrusive Load Disaggregation by Convolutional Neural Network and Multilabel Classification
inferredcites →https://doi.org/10.3390/en13092195openalex-extracted
A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing
inferredcites →https://doi.org/10.3390/en14030684openalex-extracted
Non-Intrusive Load Identification Method Based on Improved Long Short Term Memory Network
inferredcites →https://doi.org/10.3390/pr7060337openalex-extracted
Multi-Label Classification Based on Random Forest Algorithm for Non-Intrusive Load Monitoring System
inferredcites →https://doi.org/10.3929/ethz-b-000320506openalex-extracted
Convolutional Sequence to Sequence Non-intrusive Load Monitoring
inferredcites →https://doi.org/10.48550/arxiv.1911.09483openalex-extracted
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning
inferredcites →https://doi.org/10.48550/arxiv.2006.00250openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2306.05017openalex-extracted
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