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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"

24 / 74 papers shown

Title
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks Alon Harell Richard Jones S. Makonin Ivan V. Bajić GAN 16 9 0 20 Jul 2020
Particle Swarm Optimization for Energy Disaggregation in Industrial and Commercial Buildings Karoline Brucke Stefan Arens J. Telle Sunke Schlüters Benedikt Hanke Karsten von Maydell C. Agert 8 7 0 23 Jun 2020
Sequence to Point Learning Based on Bidirectional Dilated Residual Network for Non Intrusive Load Monitoring Ziyue Jia Linfeng Yang Zhenrong Zhang Hui Liu Fannie Kong 34 60 0 30 May 2020
Energy Disaggregation with Semi-supervised Sparse Coding Mengheng Xue Samantha Kappagoda David K. A. Mordecai 16 1 0 20 Apr 2020
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring Christoph Klemenjak A. Faustine S. Makonin W. Elmenreich 21 16 0 12 Dec 2019
Analysis Co-Sparse Coding for Energy Disaggregation Shikha Singh A. Majumdar 19 36 0 11 Dec 2019
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning Vanika Singhal Jyoti Maggu A. Majumdar 35 86 0 11 Dec 2019
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification Shikha Singh A. Majumdar 11 39 0 11 Dec 2019
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring Kunjin Chen Yu Zhang Qin Wang Jun Hu Hang Fan Jinliang He 93 95 0 17 Nov 2019
Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network V. Piccialli A. M. Sudoso 29 10 0 15 Nov 2019
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data S. Mohamad A. Bouchachia 18 8 0 25 Oct 2019
Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households Jordan Holweger M. Dorokhova Lionel Bloch Christophe Ballif Nicolas Wyrsch 15 38 0 20 Aug 2019
Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances Jie Jiang Qiuqiang Kong Mark D. Plumbley Nigel Gilbert 31 59 0 03 Jul 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 108 813 0 10 Jun 2019
Transfer Learning for Non-Intrusive Load Monitoring M. D’Incecco S. Squartini Mingjun Zhong 59 229 0 23 Feb 2019
Neural Network for NILM Based on Operational State Change Classification Peng Xiao Samuel Cheng 18 8 0 05 Feb 2019
Non-Intrusive Load Monitoring with Fully Convolutional Networks Cillian Brewitt Nigel H. Goddard 35 12 0 10 Dec 2018
Subtask Gated Networks for Non-Intrusive Load Monitoring Changho Shin Sunghwan Joo Jaeryun Yim Hyoseop Lee Taesup Moon Wonjong Rhee 42 116 0 16 Nov 2018
Convolutional Sequence to Sequence Non-intrusive Load Monitoring Kunjin Chen Qin Wang Ziyu He Kunlong Chen Jun Hu Jinliang He 54 87 0 06 Jun 2018
Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements Karim Barsim Lukas Mauch Binh Yang 15 27 0 20 Feb 2018
On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction Karim Barsim Binh Yang 45 46 0 05 Feb 2018
Sequence-to-point learning with neural networks for nonintrusive load monitoring Chaoyun Zhang Mingjun Zhong Zong-Hui Wang Nigel H. Goddard Charles Sutton 95 505 0 29 Dec 2016
SDP Relaxation with Randomized Rounding for Energy Disaggregation Kiarash Shaloudegi András Gyorgy Csaba Szepesvári Wilsun Xu 56 24 0 29 Oct 2016
Neighbourhood NILM: A Big-data Approach to Household Energy Disaggregation Nipun Batra Amarjeet Singh K. Whitehouse 42 24 0 26 Oct 2015