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1507.06594
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Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
23 July 2015
Jack Kelly
William Knottenbelt
AI4TS
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Papers citing
"Neural NILM: Deep Neural Networks Applied to Energy Disaggregation"
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Title
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A Non-Invasive Load Monitoring Method for Edge Computing Based on MobileNetV3 and Dynamic Time Regulation
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Benchmarking Active Learning for NILM
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Scaled and Inter-token Relation Enhanced Transformer for Sample-restricted Residential NILM
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Hawk: An Efficient NALM System for Accurate Low-Power Appliance Recognition
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Xiaohui Peng
Zhiwei Xu
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06 Oct 2024
Towards a Deeper Understanding of Transformer for Residential Non-intrusive Load Monitoring
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Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data
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15 Aug 2024
Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning
Ruichang Zhang
Youcheng Sun
Mustafa A. Mustafa
21
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29 May 2024
Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph
Vid Hanzel
Blaž Bertalanič
Carolina Fortuna
41
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29 May 2024
Non-Intrusive Load Monitoring for Feeder-Level EV Charging Detection: Sliding Window-based Approaches to Offline and Online Detection
Cameron Martin
Fucai Ke
Hao Wang
26
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04 Dec 2023
Low-Frequency Load Identification using CNN-BiLSTM Attention Mechanism
Amanie Azzam
Saba Sanami
A. Aghdam
18
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14 Nov 2023
Unsupervised Complex Semi-Binary Matrix Factorization for Activation Sequence Recovery of Quasi-Stationary Sources
Romain Delabeye
M. Ghienne
Olivia Penas
Jean-Luc Dion
45
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MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled Data
Jing Xiong
Tianqi Hong
Dongbo Zhao
Yu Zhang
15
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27 Jul 2023
Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances
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Blaž Bertalanič
Gregor Cerar
M. Mohorčič
Carolina Fortuna
33
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18 Jul 2023
On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks
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Yassine Himeur
Abbes Amira
W. Mansoor
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Non-Intrusive Load Monitoring (NILM) using Deep Neural Networks: A Review
Mohammad Irani Azad
Roozbeh Rajabi
A. Estebsari
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Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives
Hafsa Bousbiat
Roumaysa Bousselidj
Yassine Himeur
Abbes Amira
F. Bensaali
F. Fadli
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W. Elmenreich
57
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17 Apr 2023
Evolutionary Deep Nets for Non-Intrusive Load Monitoring
Jinsong Wang
K. Loparo
29
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MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model
Jialing He
Jiamou Liu
Zijian Zhang
Yang Chen
Yiwei Liu
B. Khoussainov
Liehuang Zhu
15
12
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11 Feb 2023
Energy Disaggregation & Appliance Identification in a Smart Home: Transfer Learning enables Edge Computing
M. Shahab
Hasan Mujtaba Buttar
Ahsan Mehmood
Waqas Aman
M. M. U. Rahman
M. W. Nawaz
H. Pervaiz
Q. Abbasi
43
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08 Jan 2023
Challenges in Gaussian Processes for Non Intrusive Load Monitoring
Aadesh Desai
Gautam Vashishtha
Zeel B Patel
Nipun Batra
38
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0
18 Nov 2022
Identification of medical devices using machine learning on distribution feeder data for informing power outage response
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Maitreyee Marathe
Anuj Shetty
Diego Kiedanski
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Scalable Hybrid Classification-Regression Solution for High-Frequency Nonintrusive Load Monitoring
Govind Saraswat
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Unsupervised energy disaggregation via convolutional sparse coding
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Andreas Habring
M. Holler
Mario Mitter
64
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IMG-NILM: A Deep learning NILM approach using energy heatmaps
Jonah Edmonds
Zahraa S Abdallah
16
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Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring
Maria Kaselimi
Eftychios E. Protopapadakis
A. Voulodimos
N. Doulamis
Anastasios Doulamis
54
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05 Jul 2022
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-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring
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Fanlin Meng
Qian Wang
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40
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Learning Task-Aware Energy Disaggregation: a Federated Approach
Ruohong Liu
Yize Chen
48
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0
14 Apr 2022
Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS
Blavz Bertalanivc
Jakob Jenko
Carolina Fortuna
26
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06 Apr 2022
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation
Zhenrui Yue
Huimin Zeng
Ziyi Kou
Lanyu Shang
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A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring
Ronak Aghera
Sahil Chilana
V. Garg
Raghunath Reddy
27
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07 Nov 2021
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning
Shuang Dai
Fanlin Meng
Qian Wang
Xizhong Chen
45
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08 Aug 2021
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring
Zhekai Du
Jingjing Li
Lei Zhu
Ke Lu
Jikang Cheng
31
2
0
02 Aug 2021
Mixed-Integer Nonlinear Programming for State-based Non-Intrusive Load Monitoring
Marco Balletti
V. Piccialli
A. M. Sudoso
16
28
0
16 Jun 2021
FedNILM: Applying Federated Learning to NILM Applications at the Edge
Yu Zhang
Guoming Tang
Qianyi Huang
Yi Wang
Kui Wu
Keping Yu
56
65
0
07 Jun 2021
COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring
I. Kamyshev
Dmitrii Kriukov
E. Gryazina
Elena Gryazina
Henni Ouerdane
69
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0
04 Jun 2021
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring
Yu Zhang
Guoming Tang
Qianyi Huang
Yi Wang
Honghe Xu
22
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0
01 Jun 2021
Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection
Haijin Wang
Caomingzhe Si
Junhua Zhao
Guolong Liu
Fushuan Wen
42
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0
24 May 2021
Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach
Enrico Tabanelli
Davide Brunelli
Andrea Acquaviva
Luca Benini
18
40
0
21 May 2021
A Federated Learning Framework for Non-Intrusive Load Monitoring
Haijin Wang
Caomingzhe Si
Junhua Zhao
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32
18
0
04 Apr 2021
Data augmentation for dealing with low sampling rates in NILM
Tai Le Quy
Sergej Zerr
Eirini Ntoutsi
Wolfgang Nejdl
26
3
0
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Energy Disaggregation using Variational Autoencoders
A. Langevin
M. Carbonneau
M. Cheriet
G. Gagnon
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30
58
0
22 Mar 2021
A Comprehensive Review on the NILM Algorithms for Energy Disaggregation
Akriti Verma
A. Anwar
M. A. Parvez Mahmud
Mohiuddin Ahmed
Abbas Kouzani
40
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0
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Incorporating Coincidental Water Data into Non-intrusive Load Monitoring
Mohammad-Mehdi Keramati
E. Azizi
H. Momeni
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21
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0
18 Jan 2021
Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring
Luis Felipe M.O. Henriques
Eduardo Morgan
S. Colcher
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18
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0
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Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective
Haoxiang Wang
Jiasheng Zhang
Chenbei Lu
Chenye Wu
68
41
0
12 Nov 2020
NILM as a regression versus classification problem: the importance of thresholding
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36
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0
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PHASED: Phase-Aware Submodularity-Based Energy Disaggregation
Faisal M. Almutairi
Aritra Konar
Ahmed S. Zamzam
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17
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0
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Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network
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Zhi Li
Meng Fu
Yanjun Feng
Xingyao Wang
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Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
Richard Jones
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